Staff engineer jobs in Santa Rosa, CA

80Twenty is a boutique marketing recruitment agency that connects high-growth companies with exceptional candidates. Want to build technology that truly moves the needle in healthcare? Join a fast-scaling, profitable healthcare services company - independently grown and not VC-backed - on a mission to make healthcare simpler, smarter, and more human! Our client is a healthcare tech and services company based in San Francisco, combining clinical expertise, operational excellence, and modern engineering to reshape how people experience care. From personalized medication management and transparent pharmacy pricing to community-based chronic care support, we're building a system that empowers both patients and providers. This is a fully onsite role based in San Francisco, CA. Candidates must be located within 30 miles of San Francisco. The standard schedule is Monday-Friday, 9am-7pm and may vary depending on business needs and role responsibilities. In this role, you will: Design, build, and scale backend services that power pharmacy, telehealth, and patient-facing workflows. Collaborate cross-functionally with product, operations, and pharmacy teams to deliver seamless integrations and reliable systems. Lead architectural design discussions and set long-term technical direction for the backend stack. Implement best practices for system reliability, observability, security, and scalability. Drive operational excellence through CI/CD pipelines, cloud infrastructure (AWS), and container orchestration (Kubernetes). Mentor fellow engineers and help shape our backend engineering culture. Optimize system performance and streamline complex data flows across distributed services. Influence and define standards for how we build, test, and deploy software across the company. Who You Are 7+ years of backend engineering experience, ideally in fast-moving production environments. Strong experience with Node.js (TypeScript / JavaScript) and modern backend frameworks. Deep familiarity with AWS, Kubernetes, CI/CD, and distributed system design. Adept at owning code from design through deployment - you care about maintainability, reliability, and long-term scalability. Excellent communicator who enjoys collaborating across disciplines. Motivated by solving complex real-world problems in healthcare and improving patient outcomes. Bonus points for experience in healthcare, pharmacy systems, inventory/fulfillment flows, or regulated environments. Why This Role Stands Out You'll own high-impact systems that directly affect patient and provider experiences. You'll shape backend architecture and engineering best practices in a growing company. You'll join a profitable, non-VC-backed organization focused on long-term sustainability. You'll work in-person with an ambitious, mission-driven team in downtown San Francisco. Competitive compensation, equity opportunities, and strong benefits designed to help you thrive. This is a great opportunity to be a key member of the engineering team, taking technical ownership of our pharmacy platform's core backend systems. Your work will directly power real-time healthcare operations and improve access to care. If you're excited to apply your engineering expertise to meaningful healthcare infrastructure - and want to join a company that values autonomy, sustainability, and impact - we want to hear from you! Base salary: $250k-300k DOE + generous equity and benefits

As an ASIC Design Engineer you will contribute to the design and development of high-performance processor and SoC technologies. In this role, you will be responsible for: Key Responsibilities Microarchitecture Development & Specification: Drive the process from early high-level architectural exploration and research through detailed microarchitecture definition and specification. RTL Design & Optimization: Develop, evaluate, and refine RTL implementations to achieve power, performance, area, and timing objectives. Design Delivery: Collaborate with cross-functional teams to deliver physical designs that meet timing, area, power, reliability, and testability goals. Validation: Support verification teams in building test benches, performing simulations, and ensuring functional and performance correctness. Performance Analysis: Explore high-performance architectural strategies and validate RTL correlation with target performance metrics. Requirements Strong understanding of microprocessor or SoC design, with 6+ years of experience in one or more of the following domains: High-performance cache controllers (pipeline design, hazard detection, parity/ECC, coherency and replacement policies) Coherent on-chip interconnects/fabrics for high-performance SoCs, including control structure design Proficiency in SystemVerilog Hands-on experience with simulators and waveform debugging tools Solid grasp of logic design principles and their timing/power implications Familiarity with low-power and high-performance microarchitecture techniques Experience programming in C or C++

We are looking for a junior, motivated and talented problem solver. The ideal candidate will be responsible for testing and assembling electrical and mechanical components into devices. They will also help design and manufacture our product, organize the lab and work with suppliers as needed. They should be able to make quality assurance checks in order to keep the product standard high. Responsibilities Evaluate electrical products and systems by designing testing methods Organize lab Test finished products and system capabilities Keep necessary equipment operational Contribute to team efforts by accomplishing related results Qualifications Bachelor's degree in Electrical Engineering or related field Have knowledge of sensors, mechanical parts and electronic boards Can solder electrical components on PCB Strong problem solving, technical, math and science skills Strong written and verbal communication

You'll work closely with our product, engineering, and security teams to build scalable decentralized systems that push the boundaries of what's possible on-chain. Key Responsibilities: Design, write, test, and deploy smart contracts on Ethereum or other EVM-compatible blockchains. Collaborate with frontend and backend developers to integrate smart contracts into decentralized applications (dApps). Conduct peer reviews, optimize gas efficiency, and maintain best practices for security. Develop automated testing frameworks to ensure contract reliability. Stay up to date with emerging blockchain protocols, development tools, and security standards. Participate in smart contract audits and coordinate fixes for any identified vulnerabilities. Contribute to technical documentation for contracts and protocols. Requirements: Proven experience developing and deploying smart contracts in Solidity (or Rust, for non-EVM chains). Strong understanding of blockchain fundamentals, consensus mechanisms, and token standards (ERC-20, ERC-721, ERC-1155). Experience with smart contract development tools such as Hardhat, Foundry, Truffle, or Remix. Familiarity with Ethereum and Layer 2 scaling solutions (e.g., Arbitrum, Optimism, Polygon). Understanding of web3 libraries (ethers.js, web3.js) and dApp integrations.

Systems Engineer - Video Intelligence Infrastructure - San Francisco About the Company A Series A Funded start-up who already have millions in recurring revenue are building next-generation AI infrastructure for video intelligence are looking for a Systems Engineer to join their team. What You'll Be Doing: Design and engineer systems that handle compute, scheduling, and orchestration of complex ML + ETL pipelines Optimize hyper-fast distributed systems running at the scale of thousands of GPUs Build systems that process video data quickly, reliably, and cost-effectively at internet scale Develop robust internal tooling and CI/CD pipelines for rapid ML team iteration Focus on system uptime and performance optimization for mission-critical infrastructure What We're Looking For: 3+ years building foundational data infrastructure Experience designing and maintaining pipelines that process petabytes of data Strong background developing CI/CD pipelines for ML-focused teams Excellent coding skills in Go and Python Independent contributor who leads by example What's In It For You Competitive salary up to $250k Small, high-impact team with significant growth trajectory Opportunity to work with top AI video labs and collect world-class datasets Apply now for immediate consideration!

The Role Our client is looking for a Lead AI Engineer to spearhead the development of our state-of-the-art foundation model for manufacturing and CAD. This is a leadership role at the intersection of AI, technical architecture, and company vision: a chance to shape not only our models, but the direction of AI in the physical world. What You'll Do Architect and lead the development of a next-generation foundation model that integrates text, geometry, and design intelligence. Build and code: set the standard for technical excellence in ML engineering and model development. Define and own the technical roadmap for Backflip's core model, including architecture, data, training, and evaluation strategy. Shape AI strategy in close collaboration with Backflip's leadership team, ensuring the technical direction is in harmony with product and customer goals. Drive execution: set ambitious objectives, define milestones, and uphold a high technical bar across the team. Mentor and develop engineers across AI and software, fostering growth, creativity, and technical mastery. Collaborate deeply with customers, product, and the sales team to ground model design in real-world feedback and deliver impactful AI-powered tools. Ship real products. You've done it before, and you'll do it again - taking models from research to production systems used by real people in the physical world. Who You Are You've led and shipped at least one (ideally multiple) ML products or large models into real-world production. You have deep experience building large-scale multimodal or generative models (text, 3D, or visual), and are fluent in PyTorch, distributed training, and modern ML infrastructure. You're comfortable thinking across architecture, data, and evaluation, and thrive in the ambiguity of solving hard problems end-to-end. You've led teams or initiatives that influenced company direction, product definition, or customer experience. You bring strong communication and leadership skills, with a clear sense of how technical vision connects to product and customer value. You care deeply about building tools that expand human capability, not just optimizing benchmarks. You're inspired by the opportunity to redefine how AI reshapes manufacturing and design in the real world. What We're Looking For 5-7+ years in deep learning / generative AI with a record of shipping complex systems. Expert in multimodal and generative models (transformers, diffusion, autoregressive); strong Python + PyTorch. Evidence of technical leadership as an IC: you've set standards, led cross-functional efforts, and made architectural decisions that lasted. Fluency from research to production: data strategy, training, tooling, serving, and performance engineering. Bonus Experience with CAD, 3D geometry, graphics, differentiable programming, or AI for the physical world.

San Francisco, CA (Onsite) About the Company A fast-moving AI research group is building the core video data infrastructure used by leading AI labs and major tech companies. The team is small at around fifteen people, nearly all engineers, and recently pivoted to focus exclusively on high-quality video data at massive scale. The shift has driven significant revenue growth, and they are now planning to expand the team steadily over the next few months. The culture is straightforward: engineering led, product focused, low ego, and built around people who enjoy ownership. They work in person five days a week in their San Francisco office, moving quickly, solving hard problems, and avoiding micromanagement. The Role This position focuses on designing and scaling distributed systems that support huge ML and ETL workloads across petabytes of video. You will own core infrastructure: compute scheduling, orchestration, throughput, reliability, cost efficiency, and the internal tooling that keeps the entire engineering group moving at pace. The company is beginning to scale its infrastructure footprint aggressively, and this role will become central to that growth. It is a hands-on IC position suited to someone who has operated critical systems before and wants to shape the foundation of a rapidly expanding platform. What You'll Work On • Architect and scale distributed systems for large-scale ML and ETL workloads • Build compute orchestration and scheduling across thousands of GPUs • Improve uptime, resilience, and execution speed of high-volume data pipelines • Design pipelines capable of handling petabyte-level video datasets • Lead the development of CI/CD and internal tooling for fast iteration • Partner closely with research engineers delivering new video models and algorithms • Operate in a high-trust environment with strong autonomy and clear ownership Requirements • 3+ years building foundational distributed systems or data infrastructure • Experience running critical systems at significant scale • Proficient across cloud architectures • Strong coding experience with Go (preferred) and Python • Background building or maintaining large-scale pipelines • Experience with ML-focused CI/CD and automation • Video domain experience is not required • Operates as a strong IC who leads through action • Fully onsite in San Francisco, Monday to Friday Culture Fit • Enjoys ambiguity, problem discovery, and self-direction • Communicates clearly and concisely • Shows strong intellectual curiosity • Low ego, collaborative mindset • Motivated by building core systems in a small, high-caliber team Red flags include weak communication, low curiosity, or unclear motivation for the domain. Interview Process Intro call focused on culture, curiosity, and communication Technical discussion on background and complexity of past work Problem-solving session with a research engineer Onsite research problem and collaboration exercise

Founding Hardware Engineer (Stealth Robotics Startup) On-Site • San Francisco, CA About Us We're a tiny, fast-moving team building autonomous systems for heavy industrial machines. We retrofit existing equipment with a plug-and-play autonomy kit that taps directly into machine controls and layers on a full perception + connectivity stack: multi-sensor vision, LiDAR, high-precision GNSS, IMU, and a low-latency tele-operation network. In just a few months, we've gone from first prototype to real machines operating on active job sites, with early recurring revenue and a growing pipeline of paid pilots. We're backed by top-tier early-stage investors along with a group of founder-operators who know what it takes to build in the real world. Our founding team has built and shipped hardware, software, and robotics systems before. We thrive where physical machinery, harsh environments, and rapid iteration collide. Why Join Us You want to work on problems that actually matter - fixing how the world builds things. Construction is the backbone of civilization, and it's currently broken. We're here to change that. You don't want a cushy robotics lab job. You want to build robots in the mud, on real sites, under real constraints. You'd rather spend a week living out of a dusty RV next to a machine you're debugging than polishing a slide deck. You want to see your designs move 20-50 tons of real hardware. You want to feel the stakes. You want teammates who operate at founder-level intensity and ownership. About You You're a hacker at heart - the kind of person who gets a prototype working before most people finish their planning doc. You've built something from scratch: a company, a product, a robot, a system - success not required, agency absolutely required. You work extremely hard, laugh often, and don't mind chaos. You prefer “figure it out now” to “wait for perfect requirements.” What You'll Own As a founding Hardware / Mechatronics Engineer, you'll design and build the core systems that enable remote operation, sensing, and autonomy assistance on industrial machines. You'll work across mechanical, electrical, and embedded disciplines, often all in the same day. System Design & Prototyping Architect and build tele-operation hardware systems, including power, compute, and control modules for machine retrofits. Sensor Integration Integrate and calibrate cameras, LiDAR, radar, GNSS, IMUs, and other sensors using interfaces like GMSL, CAN, and Ethernet. Electrical & Mechanical Integration Design robust wiring harnesses, brackets, mounts, and enclosures that survive real-world abuse. Communication Interfaces Implement and validate CAN, LIN, J1939, Serial, and Ethernet connections with both existing ECUs and custom control hardware. Manufacturing & DFM Work with vendors to bring designs from scrappy prototypes to reliable production, including DFM, testing, and validation. Testing & Validation Lead machine bring-up, HIL testing, and on-site debugging alongside software and autonomy engineers. Documentation & Design Produce schematics, harness drawings, CAD models, assembly docs, and anything else needed to build and scale the hardware. Compensation & Support Base: ~$250-380k Equity: ~1-3% Full health/dental/vision, relocation + visa support, downtown SF workspace with full electronics/mech prototyping tools, 401(k), high-spec laptop, and budget for any gear you need.

Previous Pharmaceutical/Biotech experience is mandatory for this role. MMR Consulting is an engineering and consulting firm specializing in the pharmaceutical and biotechnology industries. Its services include Engineering, Project Management, and other Consulting services. MMR Consulting has offices in Canada, USA, and Australia. This is an outstanding opportunity to join our growing team, where the successful candidate will work with a group of engineers and specialists involved in project management, commissioning and qualification, of equipment, systems and facilities. The work will require working out of the client's facilities in San Francisco Bay Area, California. This role is for Bioprocess Sr. C&Q Engineer role to work on the commissioning, qualification, startup of upstream and downstream bioprocess systems/equipment in the biopharmaceutical industry, as well as process equipment in pharma/biotech industries. The ideal candidate should possess leadership skills to lead/mentor intermediate/junior engineers. Responsibilities Provide technical guidance into the commissioning, qualification and start-up of various equipment and facilities used in life science manufacturing, such as bioreactors, tanks, CIP, Buffers, Media, Chrom, TFF, washers & autoclaves, etc. Lead the development of key qualification deliverables during the project lifecycle to ensure project is well defined, and the action plan to test the system is applicable and relevant. Lead qualification processes throughout the project lifecycle such as VPP, Risk Assessments, RTM, DQ, FAT, SAT, IQ, OQ and PQ as appropriate to ensure timely completion and to ensure all quality and engineering specifications are met. Prepare protocols, execute protocols, summarize data, resolve deviations, prepare final reports. Experience with C&Q of process equipment, utilities, facilities is an asset. Thermal Validation experience is an asset. Coordinate meetings with cross-functional departments, to drive project progress, facilitate decisions, provide updates. Engage other departments, as required, for design reviews and decisions. Travel may be occasionally required for meetings with clients, equipment fabrication vendors or Factory Acceptance Testing (FATs). Work may require occasional support over shutdowns or extended hours, specifically during installation and commissioning / validation phases. Client-management (maintain key Client relationships in support of business development and pursuit of new work), project scheduling/budgeting, coordination of client and MMR resources for effective project delivery, supporting business development (providing technical support to the sales as required for proposals/opportunities), presenting at industry conferences/publishing papers etc. Visit construction and installation sites following all site safety requirements. Other duties as assigned by client, and/or MMR, based on workload and project requirements. Qualifications 8-12+ years for years of experience in commissioning, qualification or validation of various systems within the pharmaceutical/biotech industry. Excellent written and spoken English is required including the preparation of technical documents in English Knowledge of requirements for a cGMP operations, including SOPs, Change Controls, Validation. Experience with developing and executing validation projects. Risk-Based Commissioning & Qualification approaches, such as ASTM E-2500 or ISPE ICQ, is considered an asset, but not required. Experience with commissioning and qualification of biotech process equipment (upstream or downstream or both), such as some, but not all, of the following: fermentation, bioreactors, downstream purification processes (chromatography, TFF, UF) is required Experience with commissioning & qualification of process control systems (i.e. PCS, SCADA, Historians) and building automation systems (i.e. Siemens Insight / Desigo, JCI Metasys) are considered an asset, but not required. Experience with Qualification or Validation of clean utilities, ISO clean rooms, and Thermal Validation is considered an asset. Experience with preparation and execution of URS's, DQ's, RTMs, Risk Assessments, CPPs, VPPs, FATs, SATs, IOQs, NCRs, Final Reports. Ability to lift 50 lbs. Engineering or Science degree, preferably in Mechanical, Electrical, Chemical, Biochemical, Electromechanical or a related discipline. Ability to handle multiple projects and work in a fast-paced environment. Strong multi-tasking skills Salary range: 100,000$ -145,000$ based on experience. Equal Employment Opportunity and Reasonable Accommodations MMR Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our hiring decisions are based on merit, qualifications, and business needs. We are committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please let us know the nature of your request.

Role : Senior Cloud Engineer (AWS) Duration: Long Term Contract Job Description: Cloud Engineer Core Competencies: Core AWS Cloud Engineer with experience in DevOps skills, Agile skills, ability to operate platforms at scale, has done automation, with a focus on maturing the cloud platform. AWS IAM identity-based and resource based policies AWS Networking (route tables, transit gateways, security group rules, VPC, subnets, R53 etc.) AWS CloudWatch and CloudTrail x troubleshooting issues AWS glue AWS Redshift RDS MSSQL Splunk Experience with CI/CD pipelines for infrastructure deployments. Experience with Harness would be a plus, but experience with other CI/CD tools (ArgoCD, CircleCI, Git Hub Actions, Jenkins, etc.) is acceptable. Terraform Experience with Centralized secrets store (AWS Secrets Manager). Git management best practices EKS and k8s cluster management SSO via Okta and role-based access control Experience with Agile project management (scrum and kanban) concepts: sprints, sprint planning, backlog grooming, story points, ticket life-cycle and management.

Job Description: Cloud Engineer Core Competencies: Core AWS Cloud Engineer with experience in DevOps skills, Agile skills, ability to operate platforms at scale, has done automation, with a focus on maturing the cloud platform. AWS IAM identity-based and resource based policies AWS Networking (route tables, transit gateways, security group rules, VPC, subnets, R53 etc.) AWS CloudWatch and CloudTrail x troubleshooting issues AWS glue AWS Redshift RDS MSSQL Splunk Experience with CI/CD pipelines for infrastructure deployments. Experience with Harness would be a plus, but experience with other CI/CD tools (ArgoCD, CircleCI, Git Hub Actions, Jenkins, etc.) is acceptable. Terraform Experience with Centralized secrets store (AWS Secrets Manager). Git management best practices EKS and k8s cluster management SSO via Okta and role-based access control Experience with Agile project management (scrum and kanban) concepts: sprints, sprint planning, backlog grooming, story points, ticket life-cycle and management.

We are actively searching for a Distributed Systems Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Our office is located in downtown SF and we collaborate two days a week onsite. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 3+ years of professional distributed database systems experience Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Available to collaborate onsite 2 days a week Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

As an ASIC Design Engineer you will contribute to the design and development of high-performance processor and SoC technologies. In this role, you will be responsible for: Key Responsibilities Microarchitecture Development & Specification: Drive the process from early high-level architectural exploration and research through detailed microarchitecture definition and specification. RTL Design & Optimization: Develop, evaluate, and refine RTL implementations to achieve power, performance, area, and timing objectives. Design Delivery: Collaborate with cross-functional teams to deliver physical designs that meet timing, area, power, reliability, and testability goals. Validation: Support verification teams in building test benches, performing simulations, and ensuring functional and performance correctness. Performance Analysis: Explore high-performance architectural strategies and validate RTL correlation with target performance metrics. Requirements Strong understanding of microprocessor or SoC design, with 6+ years of experience in one or more of the following domains: High-performance cache controllers (pipeline design, hazard detection, parity/ECC, coherency and replacement policies) Coherent on-chip interconnects/fabrics for high-performance SoCs, including control structure design Proficiency in SystemVerilog Hands-on experience with simulators and waveform debugging tools Solid grasp of logic design principles and their timing/power implications Familiarity with low-power and high-performance microarchitecture techniques Experience programming in C or C++

Systems Engineer - Video Intelligence Infrastructure - San Francisco About the Company A Series A Funded start-up who already have millions in recurring revenue are building next-generation AI infrastructure for video intelligence are looking for a Systems Engineer to join their team. What You'll Be Doing: Design and engineer systems that handle compute, scheduling, and orchestration of complex ML + ETL pipelines Optimize hyper-fast distributed systems running at the scale of thousands of GPUs Build systems that process video data quickly, reliably, and cost-effectively at internet scale Develop robust internal tooling and CI/CD pipelines for rapid ML team iteration Focus on system uptime and performance optimization for mission-critical infrastructure What We're Looking For: 3+ years building foundational data infrastructure Experience designing and maintaining pipelines that process petabytes of data Strong background developing CI/CD pipelines for ML-focused teams Excellent coding skills in Go and Python Independent contributor who leads by example What's In It For You Competitive salary up to $250k Small, high-impact team with significant growth trajectory Opportunity to work with top AI video labs and collect world-class datasets Apply now for immediate consideration!

We are looking for a junior, motivated and talented problem solver. The ideal candidate will be responsible for testing and assembling electrical and mechanical components into devices. They will also help design and manufacture our product, organize the lab and work with suppliers as needed. They should be able to make quality assurance checks in order to keep the product standard high. Responsibilities Evaluate electrical products and systems by designing testing methods Organize lab Test finished products and system capabilities Keep necessary equipment operational Contribute to team efforts by accomplishing related results Qualifications Bachelor's degree in Electrical Engineering or related field Have knowledge of sensors, mechanical parts and electronic boards Can solder electrical components on PCB Strong problem solving, technical, math and science skills Strong written and verbal communication

The Role Our client is looking for a Lead AI Engineer to spearhead the development of our state-of-the-art foundation model for manufacturing and CAD. This is a leadership role at the intersection of AI, technical architecture, and company vision: a chance to shape not only our models, but the direction of AI in the physical world. What You'll Do Architect and lead the development of a next-generation foundation model that integrates text, geometry, and design intelligence. Build and code: set the standard for technical excellence in ML engineering and model development. Define and own the technical roadmap for Backflip's core model, including architecture, data, training, and evaluation strategy. Shape AI strategy in close collaboration with Backflip's leadership team, ensuring the technical direction is in harmony with product and customer goals. Drive execution: set ambitious objectives, define milestones, and uphold a high technical bar across the team. Mentor and develop engineers across AI and software, fostering growth, creativity, and technical mastery. Collaborate deeply with customers, product, and the sales team to ground model design in real-world feedback and deliver impactful AI-powered tools. Ship real products. You've done it before, and you'll do it again - taking models from research to production systems used by real people in the physical world. Who You Are You've led and shipped at least one (ideally multiple) ML products or large models into real-world production. You have deep experience building large-scale multimodal or generative models (text, 3D, or visual), and are fluent in PyTorch, distributed training, and modern ML infrastructure. You're comfortable thinking across architecture, data, and evaluation, and thrive in the ambiguity of solving hard problems end-to-end. You've led teams or initiatives that influenced company direction, product definition, or customer experience. You bring strong communication and leadership skills, with a clear sense of how technical vision connects to product and customer value. You care deeply about building tools that expand human capability, not just optimizing benchmarks. You're inspired by the opportunity to redefine how AI reshapes manufacturing and design in the real world. What We're Looking For 5-7+ years in deep learning / generative AI with a record of shipping complex systems. Expert in multimodal and generative models (transformers, diffusion, autoregressive); strong Python + PyTorch. Evidence of technical leadership as an IC: you've set standards, led cross-functional efforts, and made architectural decisions that lasted. Fluency from research to production: data strategy, training, tooling, serving, and performance engineering. Bonus Experience with CAD, 3D geometry, graphics, differentiable programming, or AI for the physical world.

Founding Hardware Engineer (Stealth Robotics Startup) On-Site • San Francisco, CA About Us We're a tiny, fast-moving team building autonomous systems for heavy industrial machines. We retrofit existing equipment with a plug-and-play autonomy kit that taps directly into machine controls and layers on a full perception + connectivity stack: multi-sensor vision, LiDAR, high-precision GNSS, IMU, and a low-latency tele-operation network. In just a few months, we've gone from first prototype to real machines operating on active job sites, with early recurring revenue and a growing pipeline of paid pilots. We're backed by top-tier early-stage investors along with a group of founder-operators who know what it takes to build in the real world. Our founding team has built and shipped hardware, software, and robotics systems before. We thrive where physical machinery, harsh environments, and rapid iteration collide. Why Join Us You want to work on problems that actually matter - fixing how the world builds things. Construction is the backbone of civilization, and it's currently broken. We're here to change that. You don't want a cushy robotics lab job. You want to build robots in the mud, on real sites, under real constraints. You'd rather spend a week living out of a dusty RV next to a machine you're debugging than polishing a slide deck. You want to see your designs move 20-50 tons of real hardware. You want to feel the stakes. You want teammates who operate at founder-level intensity and ownership. About You You're a hacker at heart - the kind of person who gets a prototype working before most people finish their planning doc. You've built something from scratch: a company, a product, a robot, a system - success not required, agency absolutely required. You work extremely hard, laugh often, and don't mind chaos. You prefer “figure it out now” to “wait for perfect requirements.” What You'll Own As a founding Hardware / Mechatronics Engineer, you'll design and build the core systems that enable remote operation, sensing, and autonomy assistance on industrial machines. You'll work across mechanical, electrical, and embedded disciplines, often all in the same day. System Design & Prototyping Architect and build tele-operation hardware systems, including power, compute, and control modules for machine retrofits. Sensor Integration Integrate and calibrate cameras, LiDAR, radar, GNSS, IMUs, and other sensors using interfaces like GMSL, CAN, and Ethernet. Electrical & Mechanical Integration Design robust wiring harnesses, brackets, mounts, and enclosures that survive real-world abuse. Communication Interfaces Implement and validate CAN, LIN, J1939, Serial, and Ethernet connections with both existing ECUs and custom control hardware. Manufacturing & DFM Work with vendors to bring designs from scrappy prototypes to reliable production, including DFM, testing, and validation. Testing & Validation Lead machine bring-up, HIL testing, and on-site debugging alongside software and autonomy engineers. Documentation & Design Produce schematics, harness drawings, CAD models, assembly docs, and anything else needed to build and scale the hardware. Compensation & Support Base: ~$250-380k Equity: ~1-3% Full health/dental/vision, relocation + visa support, downtown SF workspace with full electronics/mech prototyping tools, 401(k), high-spec laptop, and budget for any gear you need.

San Francisco, CA (Onsite) About the Company A fast-moving AI research group is building the core video data infrastructure used by leading AI labs and major tech companies. The team is small at around fifteen people, nearly all engineers, and recently pivoted to focus exclusively on high-quality video data at massive scale. The shift has driven significant revenue growth, and they are now planning to expand the team steadily over the next few months. The culture is straightforward: engineering led, product focused, low ego, and built around people who enjoy ownership. They work in person five days a week in their San Francisco office, moving quickly, solving hard problems, and avoiding micromanagement. The Role This position focuses on designing and scaling distributed systems that support huge ML and ETL workloads across petabytes of video. You will own core infrastructure: compute scheduling, orchestration, throughput, reliability, cost efficiency, and the internal tooling that keeps the entire engineering group moving at pace. The company is beginning to scale its infrastructure footprint aggressively, and this role will become central to that growth. It is a hands-on IC position suited to someone who has operated critical systems before and wants to shape the foundation of a rapidly expanding platform. What You'll Work On • Architect and scale distributed systems for large-scale ML and ETL workloads • Build compute orchestration and scheduling across thousands of GPUs • Improve uptime, resilience, and execution speed of high-volume data pipelines • Design pipelines capable of handling petabyte-level video datasets • Lead the development of CI/CD and internal tooling for fast iteration • Partner closely with research engineers delivering new video models and algorithms • Operate in a high-trust environment with strong autonomy and clear ownership Requirements • 3+ years building foundational distributed systems or data infrastructure • Experience running critical systems at significant scale • Proficient across cloud architectures • Strong coding experience with Go (preferred) and Python • Background building or maintaining large-scale pipelines • Experience with ML-focused CI/CD and automation • Video domain experience is not required • Operates as a strong IC who leads through action • Fully onsite in San Francisco, Monday to Friday Culture Fit • Enjoys ambiguity, problem discovery, and self-direction • Communicates clearly and concisely • Shows strong intellectual curiosity • Low ego, collaborative mindset • Motivated by building core systems in a small, high-caliber team Red flags include weak communication, low curiosity, or unclear motivation for the domain. Interview Process Intro call focused on culture, curiosity, and communication Technical discussion on background and complexity of past work Problem-solving session with a research engineer Onsite research problem and collaboration exercise

As an ASIC Design Engineer you will contribute to the design and development of high-performance processor and SoC technologies. In this role, you will be responsible for: Key Responsibilities Microarchitecture Development & Specification: Drive the process from early high-level architectural exploration and research through detailed microarchitecture definition and specification. RTL Design & Optimization: Develop, evaluate, and refine RTL implementations to achieve power, performance, area, and timing objectives. Design Delivery: Collaborate with cross-functional teams to deliver physical designs that meet timing, area, power, reliability, and testability goals. Validation: Support verification teams in building test benches, performing simulations, and ensuring functional and performance correctness. Performance Analysis: Explore high-performance architectural strategies and validate RTL correlation with target performance metrics. Requirements Strong understanding of microprocessor or SoC design, with 6+ years of experience in one or more of the following domains: High-performance cache controllers (pipeline design, hazard detection, parity/ECC, coherency and replacement policies) Coherent on-chip interconnects/fabrics for high-performance SoCs, including control structure design Proficiency in SystemVerilog Hands-on experience with simulators and waveform debugging tools Solid grasp of logic design principles and their timing/power implications Familiarity with low-power and high-performance microarchitecture techniques Experience programming in C or C++