Staff engineer jobs in Vallejo, CA

🌎 San Francisco (Hybrid) 💼 Founding/Staff Design Engineer 💵 $200-300k base Our client is an applied AI research lab combining world-class AI expertise-including alumni from Google DeepMind-with exceptional product execution to bring AGI-powered tools to finance. As a Design Engineer, you will own how users experience complex AI systems, defining both the UX and the implementation in modern frontend technologies. You'll be the bridge between cutting-edge research and highly polished, intuitive interfaces that financial professionals can trust. What you'll do: Own the end-to-end user experience for core products, from early prototypes to polished, production-ready interfaces. Build high-quality, interactive frontends using React, TypeScript, and Tailwind, making complex AI systems feel intuitive and trustworthy. Collaborate closely with researchers, PMs, and engineers to translate novel AI capabilities into clear and actionable workflows for users. Define and maintain the design system and component library, ensuring consistency, performance, and visual quality across all products. Run rapid experiments, gather user feedback, and iterate quickly, shaping product decisions with real-world data and insights. Make strategic technical choices-refactoring or redesigning frontend architectures when it improves quality, speed, or maintainability. Ideal candidate: Have built high-performance, polished web applications end-to-end, ideally in complex or data-heavy domains. Are an expert in modern frontend technologies (TypeScript, React, Tailwind, Next.js) and can translate high-level product concepts into production-ready interfaces. Can make non-trivial backend changes (Node.js or Python) and implement small services when needed to support product features end-to-end. Are skilled in at least one statically typed language, care deeply about type safety across UI and APIs, and make technology choices with an eye toward maintainability and long-term quality. Have deployed frontends or supporting services using Docker and Kubernetes on a major cloud provider-or can learn quickly. Use AI to accelerate your work-generating code, copy, or design variants-but critically review outputs to maintain UX quality and correctness. Thrive in high-performing, cross-disciplinary teams, enjoying collaboration with designers, researchers, and engineers. Love technically challenging problems at the intersection of interaction design, performance, and complex AI behavior. Nice to have: Experience designing for professional or enterprise users (traders, analysts, operators). Experience with data visualization or building rich, real-time interfaces. Previous early-stage startup experience or experience as one of the first design/UX hires. Compensation & setup: Competitive salary + meaningful equity upside Hybrid, primarily in-office in San Francisco, working closely with founders and research team High-ownership role with direct impact on product, design, and AI-powered workflows

We are seeking a player/ coach to elevate this Security Engineering team's vision, strategy, and technical execution as they advance to the next stage of maturity. Their strongest leaders stay close to the work - remaining hands-on, contributing to code and technical solutions as needed to unblock the team, maintain deep context, and lead by example. This role requires in-person presence twice a week at either our San Francisco, CA or New York City, NY office. Responsibilities Provide strategic and technical leadership for the Security Engineering team. Align security strategy with the evolving needs of the business, partner teams, and peer security functions. Support the ongoing success and growth of the organization through thoughtful hiring and active mentorship. Establish a roadmap that increases platform security capabilities while reducing operational toil through automation. Build trust-based partnerships with engineering and product teams, ensuring alignment between their priorities and security outcomes. Develop and maintain security policies, standards, and guidelines that meet GRC and audit expectations. Define program KPIs to track progress and identify opportunities for improvement. Advise on architecture, technical approaches, and risk trade-offs that balance business agility with secure design. Promote a customer-first mindset, offering self-service and automation-oriented solutions that reduce friction. Manage relationships with security vendors and lead build-vs-buy evaluations for critical capabilities. Qualifications 10+ years of direct technical experience in platform engineering, infrastructure, or security. Strong expertise in AWS, EKS (Kubernetes), EDR (Endpoint Detection & Response), Terraform, and GitHub Enterprise Cloud. Production-level programming experience with Python, Java, or equivalent languages. Demonstrated ability to leverage industry frameworks and standards to mature security programs and align with business outcomes. Experience guiding teams through organizational growth or transformation, preferably within technology-driven companies or startups. Pragmatic approach to security: balancing best practices with business reality to enable secure, efficient operations. Compensation & Benefits Competitive base salary: $250K to $350K Annual discretionary bonus Long-term equity incentives Comprehensive health coverage 401(k) with company matching Paid parental leave Flexible time off

$130-150k base salary Davis, CA We're partnered with an industry leader in the utility-scale solar digitization and automation space, who are currently going through some exciting growth in their IoT and are looking for an experienced Snr IoT R&D Engineer to join their team in Davis, CA. The R&D Engineer will be leading on the design, development and prototyping of IIoT products that will provide critical infrastructure for construction automation in the solar sector, and then working closely with cross-functional teams to develop integrated hardware and software systems. The role will work closely with the IoT Director to define project scopes, working with the product managers to turn requirements into technical solutions, and providing technical mentorship to junior technicians and engineers internally. Key skills & experience: Demonstrable experience as a professional in the hardware product development space, preferably in a start-up or R&D environment This is a hands-on role that will be focused ‘tinkering' with a lot of new products/ideas - would be good to have experience with RF, GPS, Vision (Cameras, Optics & Lighting), and systems integration Should have a good understanding of fabrication technologies, power delivery systems, and electrical troubleshooting techniques Looking for someone with good CAD experience Looking for someone with a broad/generalist background who has experience across the entire product development process - open to applicants from a Solar, Construction, or Industrial background This role will be working onsite in Davis, CA. Interested? Apply now or send a copy of your resume to ***************************

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

Senior / Staff Frontend Engineer | Product-Focused | Series A Startup We're working with a Series A, AI-driven software company building a product that fundamentally changes how federal contractors create and submit proposals. This team is tackling complex, high-stakes workflows and turning weeks of compliance-heavy work into days through thoughtful product design and modern AI. This role is ideal for a Senior or Staff-level Frontend Engineer who cares deeply about user experience, enjoys owning large parts of the product, and wants to help shape both the technical foundation and product direction at an early-stage company. What you'll do • Build and ship core, customer-facing product features used by external users • Own frontend architecture and help define best practices as the product scales • Partner closely with product, design, and backend engineering to deliver polished, intuitive experiences • Translate complex workflows into clean, usable interfaces • Contribute to enterprise-grade software with high standards for performance and reliability • Play a key role in an early-stage company, influencing both product direction and engineering culture What we're looking for • 5+ years of product-focused frontend engineering experience • Proven experience building consumer or business-facing products (not just internal tools) • Background working at a Series A or early-stage startup, or a strong desire to work in that environment • Track record of shipping high-quality software in fast-moving, ambiguous settings • Senior-level ownership mindset, with Staff-level scope or ambition welcomed Technical skills • Strong proficiency in React, JavaScript, and TypeScript • Deep understanding of modern web technologies and frontend architecture • Strong UI/UX instincts and product design sensibility • Experience building complex, data-rich interfaces • Exposure to AI-powered features or large language models is a plus Traits that matter • Product-minded and deeply user-centric • Comfortable taking ownership and making decisions • Excited to build from the ground up at an early-stage startup • Clear communicator who collaborates well across disciplines If you're excited about building meaningful, user-facing products at a Series A company where your work has visible impact, this is worth a conversation.

Senior / Staff Software Engineer About the Role Our client a leader within the enterprise MCP space is building the AI enablement layer for enterprises adopting Model Context Protocol (MCP) a platform that securely connects AI agents to internal tools with strong controls around permissions, observability, and auditability. They're looking for a Senior/Staff Engineer who can architect and ship core platform systems while working directly with enterprise customers. This is a high-ownership, early-stage role where you'll build foundational infrastructure and help define how enterprises adopt MCP in production. What You'll Do Design and build scalable backend and integration systems Ship APIs and connect AI agents to enterprise tools and data Solve real-world integration and data transformation challenges Work directly with customers to gather requirements and iterate quickly Own projects end-to-end, from design to production Help set engineering standards and mentor teammates What We're Looking For 7+ years of hands-on engineering experience with system design Strong background building API-driven, integration-heavy platforms Experience in customer-facing or enterprise environments Familiarity with AI/ML-powered systems or agent tooling High agency, ownership mindset, and strong communication skills Nice to Have Experience with MCP or agent/tooling standards Background in agent security, permissioning, and observability Enterprise-scale platform experience Why This Role High-impact ownership in a small, fast-moving team Direct influence on a cutting-edge AI standard Real enterprise customers and production use cases Fast, founder-led interview process

🚁 Robotics Engineer (Forward Deployed) | UAVs, Aerial Autonomy | Remote (US) We're working with one of the most exciting venture-backed robotics startups in the defense-tech space, building real-time autonomous systems that are deployed directly into the field and used by operators in live environments. Backed by leading defense-focused investors, this team develops mission-critical aerial autonomy software that integrates into next-generation defense platforms. They are hiring a Robotics Engineer to join a small, high-impact engineering team. This role is ideal for someone who has built UAV or drone software hands-on, taken systems from early concept through prototype, and enjoys working directly with customers to shape real-world robotic systems. What you'll be working on: Designing and developing end-to-end UAV and aerial robotics software for defense-focused use cases Building and iterating on autonomous systems using C++, Python, and ROS Prototyping UAV capabilities, running flight tests, gathering operator feedback, and refining rapidly Integrating navigation, mapping, computer vision, and sensor systems into a unified platform Working directly with operators and external stakeholders to understand system behavior in the field Debugging, troubleshooting, and optimizing systems for reliability in real-world environments Collaborating closely with autonomy, hardware, and product teams from lab to deployment What you'll bring: Hands-on experience developing software for drones or UAVs Strong proficiency in C++ with solid robotics software fundamentals Experience working with navigation, mapping, or computer vision systems Familiarity with ROS and real-time sensor data pipelines Comfort operating without rigid requirements and iterating through trial and error A systems-level mindset, able to connect multiple parts of the robotics stack into a working solution Strong communication skills and confidence working directly with customers and operators Bonus points for: PX4 or Ardupilot flight controller experience Startup or founding team experience with exceptional scope University robotics or drone competition teams SLAM, path planning, or perception integration experience Hands-on hardware or prototyping exposure Why this role? Work on cutting-edge UAV autonomy with real-world deployment Join a fast-moving, VC-backed startup with significant ownership and impact Full benefits package including health, dental, vision, 401(k), and flexibility See your software used directly by operators in critical environments This role is open to US-based engineers only. US Citizenship or Green Card required (ITAR compliant). Apply now or for more information, please contact Ciara Holmes at EVONA

Job Title: BIOS Firmware Engineer Job Type: Fulltime Work Schedule: Onsite Salary: 120000 - 150000/Yearly The BIOS/UEFI Firmware Engineer is responsible for the architecture, design, development, and debugging of UEFI (Unified Extensible Firmware Interface) and BIOS (Basic Input/Output System) firmware for computer systems. This role focuses exclusively on the firmware that initializes hardware and boots the operating system, ensuring compatibility, security, and performance from power-on. It emphasizes not only hands-on technical expertise but also leadership in guiding projects and supporting team members. This position is part of the Engineering Services team, which works across departments to support the engineering and operation teams with technical expertise in electronics, operational software, and systems integration. Responsibilities: Design, develop, and maintain UEFI/BIOS firmware using C and C++. Contribute to all phases of the UEFI boot process, including Security (SEC), Pre-EFI Initialization (PEI), and Driver Execution Environment (DXE). Lead effort in hardware bring-up for new platforms, debugging complex hardware-firmware interactions across CPU, memory, and peripheral devices. Ensure correct initialization of key system hardware such as DDR memory, PCIe, SATA, USB, and other interfaces. Optimize boot performance and implement firmware security measures such as Secure Boot, Intel Boot Guard, and Trusted Platform Module (TPM) integration. Collaborate with hardware engineers to interpret schematics and datasheets and ensure accurate hardware configuration. Use debugging tools (e.g., JTAG, in-circuit emulators, logic analyzers) for troubleshooting. Participate in and provide leadership during code reviews, write technical documentation, and mentor junior engineers. Work cross-functionally with hardware, operating system, and security teams to ensure system compatibility and reliability. Qualifications: Strong proficiency in C/C++ programming for embedded systems. In-depth knowledge of UEFI architecture (EDK2 framework), x86 architecture, and system boot processes. Solid understanding of hardware interfaces such as PCIe, SPI, I2C, and USB. Strong analytical and problem-solving skills. Excellent communication and collaboration skills, with demonstrated ability to work independently. Proven leadership skills, including mentoring, guiding projects, or leading initiatives. Experience with scripting languages such as Python for automation. Knowledge of firmware security standards (e.g., NIST SP 800-193, Secure Boot). Experience with low-level debugging of boot-related issues. Understanding of System Management Mode (SMM), Advanced Configuration and Power Interface (ACPI), Intel Firmware Support Package (FSP), or Intel Firmware Image (IFWI). Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or related field. Minimum of 2+ years of BIOS/UEFI firmware development experience with demonstrated leadership responsibilities. Prolonged periods of sitting at a desk and working on a computer. Ability to access and navigate various departments within the organization's facilities. About Maxonic: Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients. Interested in Applying? Please apply with your most current resume. Feel free to contact Jhankar Chanda (******************* / ************* for more details

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.

Agent Systems Engineer - San Francisco or Redwood City A company who are building AI systems with general physical ability are looking for a Senior Agent Systems Engineer to design and implement the planning, orchestration and tool-use behaviors that allow AI Agents to operate complex physical and experimental workflows. What Will I Be Doing: Build agent planners, tool-call flows, and state machines using LangGraph or similar frameworks. Design schemas, action adapters, and cross-tool interfaces enabling deterministic, traceable LLM tool use. Develop error handling, timeout strategies, retries, rollbacks, and replay mechanisms for robust agent behavior. Collaborate with systems architecture, infrastructure, and ML teams to integrate agents into real engineering toolchains. What We're Looking For: Strong experience building agent systems, LLM tool-calling pipelines, or structured orchestration frameworks. Deep understanding of schemas, action abstractions, reproducibility, and deterministic multi-step execution. Ability to reason about system-level failure modes, edge cases, and safe tool interaction. Comfortable working across AI, systems, and domain-tooling interfaces in a fast-moving, high-precision environment. Above all, we're looking for candidates who demonstrate world-class excellence. What's in It for Me $200k - $300k dependent on experience and meaningful equity The chance to build foundational agentic infrastructure for physical AI Ownership of end-to-end, real-world systems that directly drive scientific breakthroughs A role at the core of a rapidly growing, deeply technical team The opportunity to define how AI interacts with the physical world Apply now for immediate consideration!

We are building a general AI for humanoid robots that learns in the real world with minimal human supervision. Our approach is based on world-model-based reinforcement learning trained on large-scale data that is practical to collect. This makes it possible to learn reliable behaviors and improve beyond human performance limits. As a founding engineer, you will design and build core systems while helping shape the technical direction from the ground up. Responsibilities Build data pipelines that scale to 100k+ hours of multimodal robot data Scale pre- and post-training runs on 1000s of GPUs Improve inference efficiency on low-power embedded systems Lead core architectural decisions, help define the long-term technical roadmap, and set engineering standards from the beginning Qualifications Strong practical experience building software infrastructure Experience implementing and debugging distributed systems Extensive experience in Python and at least one deep learning library such as PyTorch or JAX Ideally experienced in implementing scalable training pipelines for world-model-based RL Experience with systems programming languages (e.g. Rust, C++) is a plus We're a small, focused team where your contributions would have a major impact. As a founding team member, you'd also have significant ownership in what we're building together - we believe in giving our early engineers meaningful equity that reflects their foundational role.

We are seeking a player/ coach to elevate this Security Engineering team's vision, strategy, and technical execution as they advance to the next stage of maturity. Their strongest leaders stay close to the work - remaining hands-on, contributing to code and technical solutions as needed to unblock the team, maintain deep context, and lead by example. This role requires in-person presence twice a week at either our San Francisco, CA or New York City, NY office. Responsibilities Provide strategic and technical leadership for the Security Engineering team. Align security strategy with the evolving needs of the business, partner teams, and peer security functions. Support the ongoing success and growth of the organization through thoughtful hiring and active mentorship. Establish a roadmap that increases platform security capabilities while reducing operational toil through automation. Build trust-based partnerships with engineering and product teams, ensuring alignment between their priorities and security outcomes. Develop and maintain security policies, standards, and guidelines that meet GRC and audit expectations. Define program KPIs to track progress and identify opportunities for improvement. Advise on architecture, technical approaches, and risk trade-offs that balance business agility with secure design. Promote a customer-first mindset, offering self-service and automation-oriented solutions that reduce friction. Manage relationships with security vendors and lead build-vs-buy evaluations for critical capabilities. Qualifications 10+ years of direct technical experience in platform engineering, infrastructure, or security. Strong expertise in AWS, EKS (Kubernetes), EDR (Endpoint Detection & Response), Terraform, and GitHub Enterprise Cloud. Production-level programming experience with Python, Java, or equivalent languages. Demonstrated ability to leverage industry frameworks and standards to mature security programs and align with business outcomes. Experience guiding teams through organizational growth or transformation, preferably within technology-driven companies or startups. Pragmatic approach to security: balancing best practices with business reality to enable secure, efficient operations. Compensation & Benefits Competitive base salary: $250K to $350K Annual discretionary bonus Long-term equity incentives Comprehensive health coverage 401(k) with company matching Paid parental leave Flexible time off

🌎 San Francisco (Hybrid) 💼 Founding/Staff Design Engineer 💵 $200-300k base Our client is an applied AI research lab combining world-class AI expertise-including alumni from Google DeepMind-with exceptional product execution to bring AGI-powered tools to finance. As a Design Engineer, you will own how users experience complex AI systems, defining both the UX and the implementation in modern frontend technologies. You'll be the bridge between cutting-edge research and highly polished, intuitive interfaces that financial professionals can trust. What you'll do: Own the end-to-end user experience for core products, from early prototypes to polished, production-ready interfaces. Build high-quality, interactive frontends using React, TypeScript, and Tailwind, making complex AI systems feel intuitive and trustworthy. Collaborate closely with researchers, PMs, and engineers to translate novel AI capabilities into clear and actionable workflows for users. Define and maintain the design system and component library, ensuring consistency, performance, and visual quality across all products. Run rapid experiments, gather user feedback, and iterate quickly, shaping product decisions with real-world data and insights. Make strategic technical choices-refactoring or redesigning frontend architectures when it improves quality, speed, or maintainability. Ideal candidate: Have built high-performance, polished web applications end-to-end, ideally in complex or data-heavy domains. Are an expert in modern frontend technologies (TypeScript, React, Tailwind, Next.js) and can translate high-level product concepts into production-ready interfaces. Can make non-trivial backend changes (Node.js or Python) and implement small services when needed to support product features end-to-end. Are skilled in at least one statically typed language, care deeply about type safety across UI and APIs, and make technology choices with an eye toward maintainability and long-term quality. Have deployed frontends or supporting services using Docker and Kubernetes on a major cloud provider-or can learn quickly. Use AI to accelerate your work-generating code, copy, or design variants-but critically review outputs to maintain UX quality and correctness. Thrive in high-performing, cross-disciplinary teams, enjoying collaboration with designers, researchers, and engineers. Love technically challenging problems at the intersection of interaction design, performance, and complex AI behavior. Nice to have: Experience designing for professional or enterprise users (traders, analysts, operators). Experience with data visualization or building rich, real-time interfaces. Previous early-stage startup experience or experience as one of the first design/UX hires. Compensation & setup: Competitive salary + meaningful equity upside Hybrid, primarily in-office in San Francisco, working closely with founders and research team High-ownership role with direct impact on product, design, and AI-powered workflows

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

Senior / Staff Software Engineer About the Role Our client a leader within the enterprise MCP space is building the AI enablement layer for enterprises adopting Model Context Protocol (MCP) a platform that securely connects AI agents to internal tools with strong controls around permissions, observability, and auditability. They're looking for a Senior/Staff Engineer who can architect and ship core platform systems while working directly with enterprise customers. This is a high-ownership, early-stage role where you'll build foundational infrastructure and help define how enterprises adopt MCP in production. What You'll Do Design and build scalable backend and integration systems Ship APIs and connect AI agents to enterprise tools and data Solve real-world integration and data transformation challenges Work directly with customers to gather requirements and iterate quickly Own projects end-to-end, from design to production Help set engineering standards and mentor teammates What We're Looking For 7+ years of hands-on engineering experience with system design Strong background building API-driven, integration-heavy platforms Experience in customer-facing or enterprise environments Familiarity with AI/ML-powered systems or agent tooling High agency, ownership mindset, and strong communication skills Nice to Have Experience with MCP or agent/tooling standards Background in agent security, permissioning, and observability Enterprise-scale platform experience Why This Role High-impact ownership in a small, fast-moving team Direct influence on a cutting-edge AI standard Real enterprise customers and production use cases Fast, founder-led interview process

🚁 Robotics Engineer (Forward Deployed) | UAVs, Aerial Autonomy | Remote (US) We're working with one of the most exciting venture-backed robotics startups in the defense-tech space, building real-time autonomous systems that are deployed directly into the field and used by operators in live environments. Backed by leading defense-focused investors, this team develops mission-critical aerial autonomy software that integrates into next-generation defense platforms. They are hiring a Robotics Engineer to join a small, high-impact engineering team. This role is ideal for someone who has built UAV or drone software hands-on, taken systems from early concept through prototype, and enjoys working directly with customers to shape real-world robotic systems. What you'll be working on: Designing and developing end-to-end UAV and aerial robotics software for defense-focused use cases Building and iterating on autonomous systems using C++, Python, and ROS Prototyping UAV capabilities, running flight tests, gathering operator feedback, and refining rapidly Integrating navigation, mapping, computer vision, and sensor systems into a unified platform Working directly with operators and external stakeholders to understand system behavior in the field Debugging, troubleshooting, and optimizing systems for reliability in real-world environments Collaborating closely with autonomy, hardware, and product teams from lab to deployment What you'll bring: Hands-on experience developing software for drones or UAVs Strong proficiency in C++ with solid robotics software fundamentals Experience working with navigation, mapping, or computer vision systems Familiarity with ROS and real-time sensor data pipelines Comfort operating without rigid requirements and iterating through trial and error A systems-level mindset, able to connect multiple parts of the robotics stack into a working solution Strong communication skills and confidence working directly with customers and operators Bonus points for: PX4 or Ardupilot flight controller experience Startup or founding team experience with exceptional scope University robotics or drone competition teams SLAM, path planning, or perception integration experience Hands-on hardware or prototyping exposure Why this role? Work on cutting-edge UAV autonomy with real-world deployment Join a fast-moving, VC-backed startup with significant ownership and impact Full benefits package including health, dental, vision, 401(k), and flexibility See your software used directly by operators in critical environments This role is open to US-based engineers only. US Citizenship or Green Card required (ITAR compliant). Apply now or for more information, please contact Ciara Holmes at EVONA

Distributed Systems Engineer - San Francisco, CA A company building frontier-scale AI models that automate software engineering and AI research, combining ultra-long context, domain-specific RL, and massive compute infrastructure are looking for a Distributed Systems Engineer to join their team. What Will I Be Doing: Design and build distributed data and coordination systems that enable ultra-long-context model training and inference Develop high-performance storage and caching systems to support large-scale GPU workloads Work deep in the internals of modern deep learning frameworks in highly distributed environments Build automation for fault detection, recovery and high availability across GPU clusters Troubleshoot complex, cross-stack issues spanning GPUs, networking, storage, operating systems and cloud infrastructure What We're Looking For: Deep expertise in distributed systems design and public cloud platforms Proven experience designing and operating highly available, high-throughput data systems Strong knowledge of distributed databases, batch or stream processing systems, and/or distributed file systems Exceptional problem-solving ability across the full systems stack A hands-on mindset with the curiosity and grit to learn fast in a frontier technical environment What's In It for Me: Salary of $225K-$550K dependent on experience + significant equity Great benefits inc. 401(k) with 6% company match, comprehensive health, unlimited PTO Visa sponsorship and SF relocation stipend available Well-funded ($465M+) with backing from top investors Apply now for immediate consideration!

🌎 San Francisco (Hybrid) 💼 Founding/Staff Design Engineer 💵 $200-300k base Our client is an applied AI research lab combining world-class AI expertise-including alumni from Google DeepMind-with exceptional product execution to bring AGI-powered tools to finance. As a Design Engineer, you will own how users experience complex AI systems, defining both the UX and the implementation in modern frontend technologies. You'll be the bridge between cutting-edge research and highly polished, intuitive interfaces that financial professionals can trust. What you'll do: Own the end-to-end user experience for core products, from early prototypes to polished, production-ready interfaces. Build high-quality, interactive frontends using React, TypeScript, and Tailwind, making complex AI systems feel intuitive and trustworthy. Collaborate closely with researchers, PMs, and engineers to translate novel AI capabilities into clear and actionable workflows for users. Define and maintain the design system and component library, ensuring consistency, performance, and visual quality across all products. Run rapid experiments, gather user feedback, and iterate quickly, shaping product decisions with real-world data and insights. Make strategic technical choices-refactoring or redesigning frontend architectures when it improves quality, speed, or maintainability. Ideal candidate: Have built high-performance, polished web applications end-to-end, ideally in complex or data-heavy domains. Are an expert in modern frontend technologies (TypeScript, React, Tailwind, Next.js) and can translate high-level product concepts into production-ready interfaces. Can make non-trivial backend changes (Node.js or Python) and implement small services when needed to support product features end-to-end. Are skilled in at least one statically typed language, care deeply about type safety across UI and APIs, and make technology choices with an eye toward maintainability and long-term quality. Have deployed frontends or supporting services using Docker and Kubernetes on a major cloud provider-or can learn quickly. Use AI to accelerate your work-generating code, copy, or design variants-but critically review outputs to maintain UX quality and correctness. Thrive in high-performing, cross-disciplinary teams, enjoying collaboration with designers, researchers, and engineers. Love technically challenging problems at the intersection of interaction design, performance, and complex AI behavior. Nice to have: Experience designing for professional or enterprise users (traders, analysts, operators). Experience with data visualization or building rich, real-time interfaces. Previous early-stage startup experience or experience as one of the first design/UX hires. Compensation & setup: Competitive salary + meaningful equity upside Hybrid, primarily in-office in San Francisco, working closely with founders and research team High-ownership role with direct impact on product, design, and AI-powered workflows

Senior Agent Systems Engineer We're representing a frontier AI research group building autonomous systems that can reason, plan, and operate complex real-world engineering workflows. This is a core engineering role shaping how intelligent agents interact with tools, data, and long-horizon tasks. ⭐ The Opportunity Join a small, high-performing team designing the orchestration, planning, and execution layer that enables LLM-driven agents to reliably complete multi-step engineering processes. What You'll Do Build agent planning and orchestration systems that coordinate tool calls, workflows, and long-horizon tasks Design schemas, action interfaces, and deterministic execution flows Implement robust error-handling, rollback, retry, and reproducibility strategies Own the tooling logic that connects agents to real engineering stacks Partner with ML researchers, infra teams, and domain experts to deliver production-grade agent systems What You Bring Experience building agent systems, orchestrators, tool-use frameworks, or structured LLM pipelines Strong systems-engineering fundamentals - deterministic thinking, reliability, and failure-mode awareness Comfort designing workflows that integrate with complex real-world tools Ability to work in a fast, experimental environment where robustness matters Why This Role Excites People Build agent systems that control real physical-world workflows, not just simulations Huge scope for technical ownership and creative problem-solving Mission-driven environment focused on breakthrough autonomy Competitive salary + strong equity in a fast-scaling AI organization Interested? If you're passionate about building reliable, intelligent agent systems at the cutting edge of AI and autonomy, we'd love to speak.