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About the company

An AI research company that partners with leading research teams to build high-fidelity reinforcement learning environments and trajectory datasets that push model capabilities. The team values deep understanding of reinforcement learning and training data, backed by real hands-on work and results.

About the role

We are hiring 4 Applied Researchers to work directly with frontier AI labs on their hardest post-training problems. This is a full-time, hybrid role based in New York City or Seattle.

What you’ll do

• Work with customer research labs to turn unclear research goals into concrete environments, datasets, experiments and deliverables.
• Design and run post-training loops, including reinforcement learning, preference optimization and supervised fine-tuning, and identify which signals improve the model.
• Shape and inspect high-fidelity trajectories and training data, with attention to correctness, edge cases and research judgment.
• Build reward functions, rubrics, validators and evaluation harnesses that resist reward hacking and demonstrate real capability gains.
• Interpret post-training signals and experiment results across distributed GPU clusters to decide what to try next.

What you’ll bring

• At least 2 years of experience as an applied researcher or research scientist.
• Significant, hands-on reinforcement learning experience with results to demonstrate your work.
• Hands-on model training at a frontier AI lab, neolab or AI data lab, or published research or a released model that performed well on a notable benchmark.
• Strong research depth, attention to detail and the ability to reason about training data and post-training results.
• Experience with Python, PyTorch, FSDP, FastAPI, GRPO and distributed GPU clusters.

Nice to have

• Frontier-lab research experience.
• A PhD involving reinforcement learning research (a PhD is not required).

Benefits and perks

• Equity
• Visa transfers supported, including OPT and H1B transfers.
• Visa sponsorship supported, including new H1B and TN visas.

About the company

A medical device company building advanced, next-generation treatment systems, focused on products that meaningfully improve patient outcomes.

About the role

The Staff Electrical Engineer leads system-level design and hands-on implementation of next-generation medical devices, spanning analog and digital signal circuits, high-power electronics, and electro-mechanical subsystems. This role contributes across the full product lifecycle (from architecture and prototyping through verification, design transfer, and sustaining engineering) and owns system-level troubleshooting, failure analysis (FA), and root cause analysis (RCA). The ideal candidate is a self-directed problem solver who thrives in a cross-functional environment and is motivated by building products that meaningfully improve patient outcomes.

What you’ll do

• Lead electrical design and architecture for new product development and support the full lifecycle of existing products through sustaining engineering and continuous improvement.
• Author system requirements, design specifications, test plans, protocols, and verification reports covering power, EMC, electrical safety, and functional performance.
• Partner with mechanical and software engineering teams to ensure products meet applicable medical device standards, including IEC 60601-1 (electrical safety) and IEC 60601-1-2 (EMI/EMC).
• Drive system-level design tradeoffs in close collaboration with mechanical, software, and manufacturing engineering, balancing performance, cost, reliability, and manufacturability.
• Support design transfer to manufacturing by building prototypes, developing test fixtures and stations, and performing failure analysis and root cause analysis on returned or failed electrical assemblies.
• Design, prototype, and validate analog, digital, power, communications, and mixed-signal (ADC/DAC) circuits at the board and system level.
• Define test procedures and execute design verification activities to ensure product requirements are met.

What you’ll bring

• Bachelor's or Master's degree in Electrical Engineering, with 7+ years of relevant industry experience (5+ with a Master's); medical device experience strongly preferred.
• Strong foundation in electrical engineering fundamentals, including circuit theory, signal integrity, and power electronics.
• Hands-on experience operating under a design-controlled engineering environment.
• Proficiency with lab test and measurement equipment including DMMs, oscilloscopes, function generators, power analyzers, and spectrum analyzers.
• Demonstrated PCBA design experience (schematic capture, BOM generation, layout review, and microcontroller firmware integration) applied to medical device safety standards.
• Excellent written and verbal communication skills, with the ability to clearly document technical work and present to cross-functional stakeholders.
• Proficiency with Altium Designer or equivalent EDA/CAD tools for schematic capture and PCB layout review.
• Working knowledge of system architecture, reliability analysis, and design risk mitigation for complex hardware platforms.
• Quality- and process-oriented mindset; comfortable working within GMP and controlled documentation environments.
• Self-directed, organized, and able to drive technical work to completion with minimal supervision in a fast-paced product development environment.

Nice to have

• Experience developing and integrating motion control, closed-loop control, and power distribution subsystems within complex electro-mechanical platforms.

About the company

A medical device startup developing a next-generation ultrasound imaging and therapy system that combines advanced electronics, signal processing, and system-level design. The team works at the intersection of hardware and software, building systems that enable precise treatments with better patient outcomes.

About the role

We're seeking a Senior Ultrasound Systems Engineer to drive system-level performance and image quality optimization across the company's ultrasound platform. This role is not focused on architecture or component ownership, but rather on owning the integrity and performance of the full imaging signal chain, from probe to final image. You'll operate at the intersection of hardware, software, and signal processing teams to ensure the system performs as intended and continues to improve.

What you’ll do

• System-level ownership: analyze and optimize the end-to-end ultrasound imaging signal path (probe → processing → image output)
• Identify and troubleshoot issues such as noise artifacts, signal degradation, and image quality inconsistencies
• Develop and test image processing and signal processing techniques
• Prototype algorithms (MATLAB/Python) before production handoff
• Improve performance of imaging modes (e.g., B-mode and beyond)
• Collaborate with hardware/electronics teams (signal acquisition understanding), software teams (algorithm handoff + implementation), and mechanical teams (probe/system constraints)
• Ensure seamless system behavior across all components
• Design and execute experiments to validate system performance
• Analyze results and iterate on improvements

What you’ll bring

• Master's + 4+ years OR PhD + 2+ years in relevant field
• Strong background in ultrasound systems, imaging system behavior, acoustics, and wave propagation
• Experience diagnosing and resolving system-level performance issues
• Proficiency in Python or MATLAB

Nice to have

• Familiarity with FDA/IEC standards
• Startup or early-stage experience
• Beamforming and image reconstruction
• Real-time signal/image processing
• C/C++ or embedded systems (for collaboration with software teams)

Benefits and perks

• Annual bonus plan and stock-based compensation eligibility, subject to company performance and board of directors approval
• Comprehensive health benefits
• Opportunity to work on cutting-edge medical technology

About the company

A medical device startup developing a next-generation ultrasound imaging and therapy system that combines advanced electronics, signal processing, and system-level design. The team works at the intersection of hardware and software, building systems that enable precise treatments with better patient outcomes.

About the role

We're seeking a Senior Electrical Engineer to design and develop the electronic subsystems that power the company's ultrasound platform. This role works closely with cross-functional teams to bring complex systems from concept through validation and production.

What you’ll do

• Own PCB design end-to-end, including schematic capture, layout, and bring-up
• Design and develop high-performance electronic subsystems for ultrasound applications
• Collaborate on system architecture, integrating analog, digital, and signal processing components
• Debug and validate hardware using lab equipment (oscilloscopes, signal generators, etc.)
• Develop and automate test and validation workflows using tools such as Python or MATLAB
• Partner closely with cross-functional teams (software, systems, mechanical) to ensure seamless system integration
• Document designs, test results, and performance validation

What you’ll bring

• Bachelor's degree in Electrical Engineering or related field
• 4+ years of experience in hardware / electrical engineering
• Strong PCB design experience (core requirement), including schematic capture and layout
• Experience debugging and validating hardware in a lab environment
• Familiarity with common lab equipment (oscilloscopes, waveform generators, etc.)
• Working knowledge of scripting or programming (Python, MATLAB, or similar)

Nice to have

• Experience with Altium Designer (or similar PCB design tools)
• Experience with high-frequency, low-noise, or mixed-signal electronics
• Exposure to ultrasound, medical imaging, or similar complex systems (e.g., RF, radar, sensing systems)
• Experience working in dynamic R&D environments, with the ability to navigate evolving priorities while maintaining focus on complex, long-cycle engineering work

Benefits and perks

• Annual bonus plan and stock-based compensation eligibility, subject to company performance and board of directors approval
• Comprehensive health benefits
• Opportunity to work on cutting-edge medical technology

About the company

A medical device startup developing a next-generation ultrasound imaging and therapy system that combines advanced electronics, signal processing, and system-level design. The team works at the intersection of hardware and software, building systems that enable precise treatments with better patient outcomes.

About the role

We're hiring a Software Engineer to support both application software development and manufacturing testing systems for the company's ultrasound platform. This role will initially focus on building the application software that will be used in the operating room, then expand into developing acoustic and electrical testing software used in manufacturing and validation environments. This is a highly cross-functional role working closely with hardware, systems, and engineering teams, with the opportunity to grow into ownership of testing systems over time.

What you’ll do

• Develop and maintain application software supporting medical device functionality
• Design and build manufacturing testing software for acoustic and electrical validation
• Integrate software with hardware systems and lab equipment
• Collaborate cross-functionally to gather requirements and translate them into solutions
• Author software requirements and software verification tests in compliance with IEC 62304
• Contribute to software architecture and system design decisions
• Troubleshoot and resolve hardware/software interaction issues
• Support improvements in test automation and system reliability

What you’ll bring

• Bachelor's with 3+ years OR Master's with 2+ years in relevant field
• Experience in the medical device industry, including familiarity with the quality control process and traceability matrices, and with IEC 62304 and ISO 14971
• Strong proficiency in Python
• Solid understanding of object-oriented programming (OOP)
• Experience with Qt/PyQt/PySide
• Experience with Git version control
• Experience with GitHub and continuous integration
• Experience working with hardware-integrated or lab-based systems
• 2+ years of professional software engineering experience
• Ability to learn quickly, adapt, and collaborate effectively

Nice to have

• Experience with multithreading
• Experience working in a startup environment
• Experience developing automated test frameworks for hardware components

Benefits and perks

• Annual bonus plan and stock-based compensation eligibility, subject to company performance and board of directors approval
• Comprehensive health benefits
• Opportunity to work on cutting-edge medical technology

About the company

A growing medical device company in urology that builds AI into surgical systems used in the operating room. Its small, growing AI team works closely with clinical, platform, regulatory, and quality teams, and its models are used in the field with a short feedback loop to clinical outcomes.

About the role

We are hiring a Manager or Senior Manager of AI/ML to lead the technical direction of the company's medical AI portfolio while remaining hands-on in AI/ML development for medical devices. This is a hands-on technical leader of the AI group. You will own the science across the roadmap: model architecture, dataset strategy, evaluation methodology, on-device deployment patterns, and post-market monitoring. The role spans real-time computer vision, geometric reasoning, and safety-critical inference in the operating room.

You will partner with Senior R&D Leadership, Product, and clinical advisors to shape what gets built and why, set the technical bar for a small, growing team of AI/ML engineers, mentor them through the work, and own the scientific content that backs regulatory submissions and clinical claims. Your technical contributions will be visible in the field, with a short feedback loop between AI models and results that improve clinical outcomes. Leadership experience may be through technical leadership or people management.

This role is hybrid at the company's headquarters in Pleasanton, California, to support access to hardware, wet-lab sessions, and collaboration with clinical, platform, and regulatory teams. Candidates must currently live in the San Francisco Bay Area. Candidates based outside the Bay Area or requiring relocation are not being considered.

Base salary depends on experience and qualifications. The range is a target, not a guaranteed offer.

What you’ll do

• Set technical direction. Own model architectures, dataset strategy, evaluation methodology, and on-device deployment patterns. Work with Senior R&D Leadership, Product, and clinical advisors to shape the AI roadmap and make build, buy, or partner decisions.
• Lead new product investigations. Take the science from clinical question to dataset design, baseline model, and deployment plan. Translate ambiguous clinical needs into well-scoped ML problems with tangible success criteria.
• Mentor AI/ML engineers. Support early-career and mid-level engineers. Set standards for datasets, reproducible experiments, evaluations, and defensible model cards, and review the team's work against them.
• Own regulatory science. Author and review the model-validation, generalization, and bias-and-fairness sections of 510(k) submissions and Predetermined Change Control Plan (PCCP) packages. Partner closely with regulatory and quality teammates so the science holds up under review.
• Lead post-market investigations. Diagnose model-performance drift, propose interventions, and shepherd PCCP-modification cycles. Own the long-term scientific accountability after clearance and launch.
• Represent the company's AI program. Participate in clinical conferences, collaborations with academic medical centers, scientific advisory interactions, and technical conversations with FDA when needed.

What you’ll bring

• PhD, or MS + equivalent industry experience, in Computer Science, Electrical Engineering, Biomedical Engineering, Applied Mathematics, or a related technical field.
• 8+ years of applied machine learning or computer vision experience, with at least one shipped medical device or safety-critical AI product where you led the scientific work. Hands-on AI/ML development experience for medical devices is required.
• Deep working knowledge of modern computer vision, including detection, segmentation, tracking, and geometric reasoning, and the associated training and evaluation workflows.
• Strong Python and deep familiarity with PyTorch or TensorFlow. Comfort with experiment tracking, dataset versioning, real-time inference, and model monitoring for medical AI.
• Demonstrated technical mentorship, including setting the technical bar for a small team and reviewing work for scientific rigor. Leadership may be technical or through people management.
• Excellent written communication. Ability to author precise, accessible, and defensible documents for surgeons, regulatory reviewers, and quality engineers.

Nice to have

• Direct FDA experience leading the AI/ML scientific content of medical-device submissions, such as 510(k) AI/ML, PCCP, IDE, or PMA.
• Background in endoscopy, ureteroscopy, urology, or other intra-luminal surgical AI.
• SLAM, structure-from-motion, 3D reconstruction, or geometric computer vision applied to surgical or endoscopic video.
• Real-time inference optimization for medical-grade embedded hardware, including TensorRT, ONNX, quantization, and knowledge distillation.
• Authorship on Class II AI/ML 510(k) clearances or comparable submissions.
• Active publication record in venues such as npj Digital Medicine, MICCAI, MIDL, IEEE TMI, J Endourol, BJU Int, or similar.
• Familiarity with IEC 62304, ISO 14971, and AAMI TIR34971 medical-device software development standards.

Benefits and perks

• Meaningful equity participation, sized to the level of the role
• Medical, dental, and vision insurance
• 401(k)
• Paid time off
• Employee-assistance program
• Commuter support for on-site days

About the company

A venture-backed AI software company building a platform for scientific R&D. Scientists at enterprise customers use the platform to accelerate research, with AI designed specifically for scientific workflows.

About the role

As one of the company's first Agent Product Managers, you will shape how AI supports scientific R&D, turning new AI capabilities into agent skills that enterprise customers use and pay for. You will connect the core product and AI teams with customer-facing scientists and customer teams. The platform releases new capabilities weekly; your focus is applying them to valuable, repeatable customer workflows.

This is a hands-on individual contributor role with substantial product ownership. You will not manage a fixed engineering team; engineers and the core AI team are available when needed. The role is hybrid in the San Francisco Bay Area. Relocation support is not offered.

What you’ll do

• Own agent skills from workflow discovery through launch, adoption and improvement.
• Write, test and improve skills, prompts and evaluations yourself. Turn capabilities such as MCP connectors, multi-agent orchestration, artifact generation, memory and automation into useful applications.
• Work with customer-facing scientists and enterprise customers to understand specialist R&D workflows and identify high-impact automation opportunities.
• Run focused, fast-moving initiatives, often about a month at a time, and adapt as the platform and customer needs evolve.
• Use AI daily for product work and rapid prototyping, and help establish standards for agent quality and evaluation.

What you’ll bring

• 4-7 years of product management experience, with direct accountability for products or product capabilities.
• Experience shipping AI-powered products or capabilities to external customers, with a clear account of what you owned and what reached the market.
• Hands-on experience with prompts, evaluations and agent skills, plus daily AI use and rapid prototyping in your own work.
• Experience building enterprise B2B software and working closely with customers. Vertical SaaS or software for specialist industries is especially relevant.
• Experience taking a product or capability from concept to launch, with strong ownership, customer judgment and comfort working independently.
• Ability to collaborate across time zones and adapt to a fast-moving, project-based environment.

Nice to have

• A science or engineering background (a PhD is not needed).
• AI side projects and startup experience.

Benefits and perks

• Competitive equity

About the company

A venture-backed consumer AI startup building a platform where people create, share and play games and other interactive experiences.

About the role

Build consumer-facing experiences for creators and players, with ownership from prototype to production and a focus on activation, engagement and retention. Approximately 80-90% of the role is frontend work. You will work onsite in Palo Alto, with a daily engineering stand-up. Candidates must already live in the San Francisco Bay Area; relocation support is not available.

What you’ll do

• Build end-to-end user journeys across web and mobile using React, React Native and TypeScript. Own scoping, implementation, launch and measurement.
• Partner with data, recommender-systems, product growth and engineering teams to identify friction for creators and players and improve retention.
• Improve frontend architecture, including the content feed and creator experience. Write backend code when needed.
• Run A/B tests from hypothesis and experiment design through analysis, using Amplitude, Mixpanel or custom SQL to turn insights into product improvements.
• Use and build agentic AI tools to automate workflows, surface insights and scale successful approaches.

What you’ll bring

• 2-4 years of product, frontend or full-stack engineering experience, with strong React or React Native skills and a record of shipping consumer-facing products.
• Experience at a leading product-first technology company or strong frontend/React startup. Consumer social or two-sided marketplace experience is particularly relevant.
• A computer science degree. A top-20 university is preferred; exceptional professional experience may offset the school preference.
• Strong computer science and system design fundamentals, especially data structures, algorithms and runtime efficiency.
• Product analytics and experimentation skills, including funnels, cohorts and retention analysis.
• Clear English communication and the ability to own features in a fast-moving startup.

Nice to have

• Startup founder or YC founding-engineer experience.

Benefits and perks

• 100% medical, dental and vision coverage
• Monthly AI-tools budget
• Monthly lifestyle, fun and commuter stipends
• Breakfast, lunch and dinner provided on in-office days
• Equity

About the company

An early-stage, venture-backed AI startup building an agent platform that automates procurement for large enterprises. The team is small, and its software is already running in production at Fortune 500 companies.

About the role

This hands-on generalist role offers ownership of core systems and direct collaboration with the CTO, engineers and enterprise customers. You will work onsite in San Francisco. Salary depends on experience and scope. Visa transfers are considered individually.

What you’ll do

• Find high-value problems by learning the codebase, business and customer needs, then take ownership of solving them.
• Build across the full stack, from infrastructure and distributed systems to customer-facing UI.
• Design core AI agent systems over messy, fragmented enterprise data, primarily in Python, and help shape the platform architecture.
• Work directly with customers and a small engineering team to turn procurement problems into reliable production software.

What you’ll bring

• At least 3 years of software engineering experience. More experienced engineers are welcome if they want a hands-on individual contributor role.
• Production full-stack experience, strong engineering fundamentals, and experience building distributed systems or data pipelines.
• Strong Python skills, or depth in another language and the ability to ramp quickly.
• Experience at a leading AI lab, major technology company or venture-backed growth-stage startup.
• Self-direction, curiosity, sound technical judgment and clear communication with engineers and customers. Technical strength matters more than a particular degree.

Nice to have

• Founder or founding-engineer experience.
• Procurement, supply chain, manufacturing or industrial software experience (welcome but not required).

Benefits and perks

• Competitive equity

About the company

A venture-backed robotics startup building accessible, programmable robots. Its open platform lets developers and builders work with different AI models and backends. The team designs and assembles its hardware in-house and values technical depth, ownership and close collaboration across the full stack.

About the role

Join a small, high-ownership team building an open consumer robotics platform. You will work across mechanical design, electronics, embedded firmware and production to turn prototypes into complete robot products. This role is for hands-on builders who have made physical systems from scratch and can explain the technical decisions, trade-offs and challenges behind their work. You will own major subsystems from concept through assembly, working closely with the hardware and AI teams.

The role is aimed at engineers with approximately 1-5 years of experience. Strong builders with exceptional personal projects or internships, including new graduates, are also considered; demonstrated building ability matters more than a rigid years-of-experience threshold.

Schedule: onsite in Palo Alto. Sunday work is also expected, with a more flexible schedule and the option to work from home. The team works at a high intensity, including additional effort during critical project periods.

Tools and technologies: Python, C, C++, Arduino, mechanical CAD, SolidWorks, PCB design, firmware, microcontrollers, FPGAs and 3D printing.

What you’ll do

• Design and architect robot systems, including mechanical CAD, PCB layouts, cable harnesses and battery management systems.
• Write firmware for microcontrollers and FPGAs, and use Python, C, C++ and Arduino to bring up and debug boards.
• Build rapid prototypes, test their behavior and iterate toward robust, production-ready consumer hardware.
• Collaborate with the AI team so hardware and software decisions support a well-integrated robot platform.
• Participate in peer design reviews, manage supplier relationships and develop production processes that support manufacturing at scale.

What you’ll bring

• Experience independently building physical hardware systems or products from scratch, with clear hands-on technical ownership.
• Practical breadth across mechanical design and CAD, electrical design and PCBs, and embedded firmware.
• The ability to take a complex project through completion, work across disciplines and explain the engineering choices behind the result.
• Strong attention to detail, follow-through and collaboration, with enthusiasm for difficult technical problems.
• Projects or a portfolio that demonstrate what you have built, the challenges you solved and your contribution.

Benefits and perks

• Competitive equity
• Visa transfers and new sponsorships supported
• Relocation support for out-of-area candidates
• Flights and accommodations covered for onsite trials

About the company

A venture-backed startup combining AI, robotics and biology to help scientists scale laboratory work and accelerate life science research. Its platform automates laboratory work, generating more experimental data for applications such as drug discovery. The team values ownership, collaboration, candid technical debate and comfort with ambiguity, and includes engineers from leading robotics, aerospace and neurotech companies.

About the role

Build robotic systems that accelerate life science research. You will develop software that enables robots to operate scientific instruments with human-level dexterity, manipulate biology tools, avoid collisions in dynamic laboratories and close the loop with computer vision. This is a high-ownership role spanning simulation, real robot hardware and customer deployments, working with engineers and scientists to make laboratory automation reliable, flexible and scalable.

Full-time and onsite in San Francisco. Base salary is based on experience and qualifications. Tools and technologies: C++, Python, PyBullet, MuJoCo, ZMQ, Redis and gRPC.

What you’ll do

• Develop and implement motion-planning and trajectory-optimization algorithms for robot arm manipulators in complex, dynamic laboratory environments.
• Integrate, test and debug software across simulation and physical robots, delivering code that runs on real hardware.
• Use computer vision to enable robots to work with consumables and equipment originally designed for humans.
• Collaborate directly with partner scientists at customer labs to understand problems, develop solutions and guide implementation and deployment.
• Find opportunities to simplify the platform and improve its scalability and robustness.

What you’ll bring

• Experience shipping software to physical robot hardware, including integration, testing and debugging.
• Professional proficiency in Python.
• A degree in robotics, EECS, computer science, computer engineering, electrical engineering or mechanical engineering from a top school.
• 1-8 years of robotics software engineering experience, with a focus on C++ or Python.
• Technical depth in motion planning, trajectory optimization, kinematics, dynamics or controls.

Nice to have

• Robot manipulation or other high-dexterity work, such as robot arms, pick-and-place systems or manufacturing accuracy.
• Laboratory automation or manufacturing robotics.
• Robotic simulators such as MuJoCo or PyBullet.

Benefits and perks

• Competitive equity
• Open to visa transfers and new sponsorships, including OPT, H-1B and TN pathways as applicable

About the company

A fast-growing, late-stage B2B software company whose broad suite of workforce and business-operations products runs on one unified platform. The Design Systems team is a horizontal team that partners closely with product and engineering to make the full product suite feel consistent and coherent while supporting the needs of individual product areas.

About the role

Help make a large, multi-product suite feel like one seamless platform. As a Product Design Lead for Design Systems (Staff or Principal individual contributor), you will set direction and deliver hands-on design work across the patterns, flows and frameworks that connect the product suite. This role calls for an AI-native systems thinker with strong visual and mobile craft. You will work across product verticals with a dedicated engineering team, pairing platform-wide strategy with functional prototypes and practical implementation.

Candidates must be based in the United States. Remote work is available within the US; candidates who live near an office in San Francisco, New York or Seattle are expected to work hybrid from that office. Equity vests over four years.

Be ready to discuss a pattern-level system you owned end to end (the problem, your design decisions and the outcome) and to walk through a recent example of using AI-assisted coding tools to build a functional prototype.

What you’ll do

• Design repeatable, scalable UX patterns and flows that go beyond component and token libraries, including the growing mobile design system.
• Build AI-driven systems that define and measure design quality and automatically check product design work against that standard.
• Create AI prototyping tools and code-based tools that assess whether implementations meet design standards.
• Own broad, platform-wide initiatives from strategy through hands-on prototyping in code using tools such as Codex, Cursor and Claude Code.
• Partner with engineers, product managers and product designers to improve craft and shape the company's design language.

What you’ll bring

• 8-20 years of experience in product design or design systems.
• Prior Staff, Principal or Lead-level experience, such as Product Design Lead, Staff Product Designer, Principal Product Designer or Product Design Manager.
• Hands-on experience using AI-assisted coding tools (such as Cursor, Claude Code and Codex) to build functional prototypes.
• Product design or design systems experience in dense B2B platforms, horizontal architectures or complex developer tooling.
• Experience building scalable systems, repeatable interaction patterns and UI/UX frameworks across complex platforms.
• Accessibility expertise and strong visual, interaction and user experience design craft.
• Pattern-level systems ownership that extends beyond basic components and token libraries, with the ability to connect strategy to hands-on execution.

Nice to have

• Strong mobile or consumer product design experience, alongside the systems thinking needed for complex platforms.

Benefits and perks

• Competitive equity with four-year vesting
• Open to visa transfers, including OPT and H-1B transfers as applicable

About the company

A venture-backed edtech startup that builds AI-powered practice simulations for university students in care-focused professions. The platform is already used by many universities, and the company also builds learning management and compliance tools for higher education.

About the role

Join the founding engineering team and work directly with the founders, helping shape the product, architecture and engineering culture. The role begins with hands-on technical customer support and account management: you will take customer problems from the inbox, diagnose them across the full stack and fix them. As you make support more efficient, you will move into broader product development. The role is onsite in the New York City office.

What you’ll do

• Own technical support across the company's products, primarily over email with some customer calls.
• Investigate and resolve issues for professors, students and university administrators. Begin with simpler tickets during onboarding and take on more ownership as you learn the products.
• Build automations and internal tools in your first 30-60 days to reduce support work and help the team scale.
• Ship full-stack product features used by students and faculty as support becomes more efficient.
• Help define product priorities when needed and contribute to architecture, engineering practices and AI-agent-driven workflows.

What you’ll bring

• 0-4 years of full-stack or forward-deployed engineering experience and the ability to build and debug across the stack.
• Experience on a founding team, as a founder or at a small early-stage startup. The depth and nature of this experience are considered in context, including for new graduates.
• Ownership and initiative: work through a messy customer issue, decide what needs to happen and deliver without a daily task list.
• Clear communication with customers and teammates, plus willingness to begin with substantial technical support responsibilities.
• Ability to work onsite in the New York City office.

Nice to have

• Experience in edtech or university environments.
• A strong university background (a plus, not a requirement).
• Full-stack development, AI agents, LLMs and automation. No mandatory programming language.

Benefits and perks

• Meaningful early-stage equity
• Relocation assistance
• Open to visa transfers, including OPT and H1B transfers

About the company

A well-funded, fast-growing AI robotics company building general-purpose robots and the electromechanical hardware that runs them.

About the role

Own the move of the company's electromechanical robotics hardware from prototype into repeatable production. This hands-on leadership role builds both the manufacturing line and the operations team behind it. You will inherit active builds and a small team while designs and processes continue to evolve. One opening, onsite in San Mateo, California.

Manufacturing systems and methods: PLM, BOM/MBOM, MES, serialization and traceability systems, Kanban inventory, fixture and tooling design, and wire harness/cable assembly.

What you’ll do

• Lead assembly technicians and manufacturing engineers (starting with a small existing team), and grow the manufacturing operations team.
• Own build execution on work already in progress: sequence around part availability, set daily floor priorities and escalate when a build stalls.
• Reduce build labor through process and cycle-time improvements, fixturing and tooling across high-mix, high-complexity assembly.
• Run new product introduction (NPI): take new hardware platforms from engineering release through pilot builds into producible builds, and give design teams specific, actionable manufacturability feedback.
• Own work instructions, build documentation and manufacturing systems, including PLM and BOM. Keep them accurate and under revision control as designs change.

What you’ll bring

• 7+ years of manufacturing or NPI engineering experience for complex electromechanical hardware in low-volume, high-complexity production.
• Experience leading assembly technicians and manufacturing engineers, formally or as a team lead.
• Experience building manufacturing lines and manufacturing operations teams.
• Direct experience taking products from prototype into repeatable production.
• Hands-on process development, including fixture design, assembly methods and tooling selection.
• Fluency with PLM and BOM systems.
• Ability to work onsite in San Mateo.

Nice to have

• Scripting for manufacturing data using Python, Apps Script or REST integrations.
• Experience with wire harness fabrication and cable assembly.
• Ability to partner with mechanical and electrical engineers and advocate for manufacturability.

Benefits and perks

• Relocation support
• Open to visa transfers, including OPT and H1B transfers

About the company

An early-stage startup developing AI and reasoning systems for market prediction and live trading decisions. The team is intentionally small, with an emphasis on critical thinking, autonomy and end-to-end ownership.

About the role

Join a small team building AI for markets. This founding-level engineering role offers ownership of projects from the first idea through production, working closely with quantitative and AI researchers on market prediction and trading systems.

What you’ll do

• Own and ship projects end to end across the trading stack, from ideation and implementation through production.
• Build new systems and extend existing data pipelines, trading signals and research infrastructure.
• Develop automated execution systems and tools that help the team move quickly from an idea to a live experiment.
• Work directly with quantitative and AI researchers on new approaches to market prediction.
• Contribute across trading and high-frequency trading infrastructure, security and machine learning as the team tackles new problems.

What you’ll bring

• 1-5 years of experience and strong software engineering skills in Python and/or C++.
• The ability to think critically, take an idea from scratch to production and own the whole project.
• Curiosity, critical thinking and comfort working through ambiguous problems in a small, fast-moving team.

Benefits and perks

• Competitive equity

About the company

A small applied AI research team within a venture-backed AI company. The team develops evaluations that reveal misaligned behavior in frontier AI models. Its environments help AI labs identify reward hacking, test and train models, and assess whether their AI control methods are effective. The work focuses on reducing risks from advanced AI.

About the role

Design and build environments that expose misbehavior in frontier models, owning each from the initial idea through results. Environment development involves substantial independent work, with regular collaboration to share findings and context. The team stays connected through meals, meetings and weekly check-ins; new remote team members receive daily check-ins, and each completed environment is reviewed. The team prioritizes the quality of shipped work. Its research is focused on alignment rather than advancing AI capabilities.

The role is based in San Francisco and is hybrid, with openness to relocation. Remote arrangements may be considered. Primary technology: Python.

What you’ll do

• Design and build environments that expose misbehavior in frontier models. Own each environment from the initial idea through identifying exploits, refining graders, measuring results and improving the design.
• Develop and improve the software used to isolate these behaviors, including high-quality environments for complex, long-horizon tasks.
• Work extensively with LLM agents: assign tasks, review their output, identify subtle errors and make the qualitative design decisions that require your judgment.
• Learn new domains quickly and reason about the kinds of misalignment that increasingly capable models may exhibit.

What you’ll bring

• Strong software engineering ability and some traditional software engineering experience.
• A serious interest in AI alignment, existential risk reduction and the responsible development of increasingly capable AI.
• Strong conceptual and ethical reasoning, the ability to learn unfamiliar domains, and comfort taking full responsibility for an environment.
• The ability to direct AI agents efficiently, understand their limitations and recognize when apparently plausible work is wrong.

Benefits and perks

• Competitive equity
• Open to visa transfers and visa sponsorship, including arrangements such as OPT, H-1B and TN