Senior engineer jobs in Hayward, CA - 15,070 jobs

An innovative robotics company in San Francisco seeks an experienced engineer to lead the design of embedded systems and electronics for robotic applications. You will integrate sensors, develop firmware, and collaborate across teams to ensure system reliability. Ideal candidates will possess a strong track record in embedded systems design, expertise in firmware development, and proficiency with ECAD tools. The role offers a competitive salary range of $150,000 - $300,000 based on skills and experience. #J-18808-Ljbffr

Tech Lead, DeFi Engineering Location: San Francisco (preferred) OR New York (remote) Full-Time | $200-250k base + Token Allocation + Benefits About Reserve At Reserve, we're building the future of financial freedom. Our mission is to create stable, decentralized, and accessible financial tools that empower individuals and institutions globally. We're a fast-moving team backed by top investors, building innovative products in the crypto and fintech space. Role Summary: We are looking for an experienced engineer to join our small, but growing, protocol engineering team. With a strong player/coach mentality, you'd be working with Ethereum mainnet and it's L2s, custom API's, data pipelines, docker, cloudflare, metrics software, and other tools to help build and maintain a scalable backend. This role is focused on ensuring our frontend UI, backend API's, and developer operations are as reliable and scalable as possible. Users need an intuitive, seamless DeFi experience, without unacceptable reductions in security and decentralization. The ideal candidate has full stack experience, specialization as an SRE, and a love of scaling. They should also have the ability to lead a small team from a project basis to get the job done. We're a startup and people wear many hats, but being a top-notch Engineer is the primary responsibility. Our Stack: Bare metal boxes Linux (Unbuntu) Docker Redis Postgres Cloudflare Typescript Rust Responsibilities: Provision, setup, and secure linux servers (preferably via automation) Manage blockchain nodes for maximum uptime Deploy and configure metrics tooling like Prometheus & Grafana Load test to triangulate and fix bottlenecks in our API Manage fleets of docker containers with Dokploy / Swarm / Kubernetes / etc Help architect solutions and set team priorities to achieve the necessary scaling goals Track the critical integration points between the API team and the Frontend and Protocol teams Requirements: Familiarity with running blockchain nodes and backend services that include and revolve around said nodes. Production-level experience at a DeFi startup, or deep immersion as an end user. A security-first mindset; our security standards are extreme. A strong command of the English language. A schedule that can accommodate being online for most of a typical US workday - we are flexible on the location but do have a preference for in-person in our San Francisco office on Union Street. Senior-level ability to write well-tested and performant code in Typescript and/or Rust. Bonus: Deep knowledge of Reth or experience tweaking Ethereum nodes for better performance. Why Join Reserve? Competitive salary + token allocation Full health, dental, and vision benefits Work alongside a top-tier team in crypto and fintech Mission-driven culture and high-impact work #J-18808-Ljbffr

ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

Mill is all about answering a simple question: how can we prevent waste? Less waste can save time, money, energy, maybe even our planet. And there's no better place to start than food. Food waste is one of the most solvable climate problems facing us today. Plus, our trash really stinks. It's gross, heavy, and our least favorite chore. At Mill we are striving to build a better environment for all, as we take on climate and kitchen change. As a member of Mill's Product Design Engineering team you will be part of a cross functional team to design, validate and ship Mill's hardware products. You will work closely with other members of the PD team as well as cross functional groups including Industrial Design, Electrical Engineering, Reliability, Product Management and Operations. Objectives of this role: Design mechanical systems to balance complex tradeoffs between cross functional teams including Industrial Design, Electrical Engineering, Reliability, Product Management and Operations Generate detailed CAD models, specifications and documentation Prototype, Test and Analyze component and system designs Validate and system performance and iterate designs to achieve targets Create predictive models and correlate with real world performance Perform root cause analysis of performance failures and drive corrective actions Work directly with the supply chain to ensure parts are properly manufactured and assembled. Qualifications BS degree in mechanical engineering or equivalent 2 + years experience working in mechanical product design. Consumer Electronics or Home Appliance industries are preferred Expertise in CAD modeling, experience with NX is preferred. Detailed knowledge of plastic and metal part manufacturing processes Solid understanding of product design concepts including Design for Manufacturing (DFM), Design for Assembly (DFA), Tolerance Analysis Demonstrated ability to apply engineering fundamentals to find simple solutions to complex problems A strong desire to work hands-on Strong communication skills The estimated base salary range for this position is $150k to $175k, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. #J-18808-Ljbffr

A tech startup focused on CAD intelligence is seeking a talented individual to own the creation and refinement of computational geometry features using Python and C++. You'll collaborate closely with engineers and gain insights from customers to shape the product roadmap. The role offers a generous equity package, opportunities for growth, and relocation assistance to San Francisco. Excellent communication skills and experience with reinforcement learning algorithms are required. #J-18808-Ljbffr

A leading fusion energy company in Milpitas is seeking a Principal Mechanical Engineer to join their R&D team focused on advanced thin-film deposition technology. Responsibilities include designing R&D equipment, leading complex projects, and mentoring engineering staff. The ideal candidate will have a Master's in Mechanical Engineering, over 15 years of experience in mechanical design, and familiarity with tools such as SolidWorks and ANSYS. Competitive salary and benefits are offered, including 12.5 holidays and flexible vacation days. #J-18808-Ljbffr

About Push Security At Push Security, we're on a mission to defend organizations where work and attacks actually happen: in the browser. For decades, security tools focused on endpoints and networks, leaving the browser, where everyone now works, as a massive blind spot that attackers are exploiting. We are changing that by defining the future of Browser-based Threat Detection and Response. Built by world-class red and blue team experts, Push gives defenders the real-time visibility and control needed to stop modern threats. Candidates must be based in California for this role. We are searching for a Solutions Engineer to join our fast-growing cyber security startup. We've already established a solid product/market fit, and now we're ready to take Push to market at scale. You'll partner directly with our sales team to understand customer needs, articulate the technical value of Push Security, conduct product demonstrations, and ensure successful technical evaluations. Your deep understanding of identity security, cloud technologies, and the cybersecurity landscape will enable you to effectively position Push Security as the premier solution for preventing account takeover and securing the new identity perimeter. In this role you will: Partner with the sales team to provide technical leadership to our customers and prospective customers and help our team meet their quarterly sales targets. Provide presentations to our customers and prospective customers such as whiteboards, product demos, slides, and proof of value outcomes. Engage with customers in a technical consultancy and advisory role throughout the full customer lifecycle, with an emphasis on pre-sales, but also help out with onboarding, technical support, and business reviews. Build deep relationships with customers to enable them to be Push champions. Help our customers and prospective customers build plans for showing the value of the Push platform in their environment (proof of value). Serve as the customer advocate to other Push teams, including Product, Sales, and Marketing Invest time in learning new product features, industry developments, and broadening your overall technical skillset. Represent Push in technical forums such as trade shows, technical meetups, and industry events - willingness to travel is required Experience the ideal candidate might bring includes: 6 years+ experience in a pre-sales technical role delivering solutions to C-level execs and security experts at enterprise customers Ability to deliver world class demonstrations and training experience to our customers and partners Actively managed technical proof of concepts and/or deployments in the past year during pre-sales engagements and completed more than 20+ POC/Deployments Experience using device management tools such as Intune and Jamf Strong knowledge of modern cybersecurity threats and attack vectors, with a specific focus on identity-based attacks such as phishing, credential theft, and account takeover. Familiarity with security technologies and tools, including Security Information and Event Management (SIEM), Extended Detection and Response (XDR), and Security Orchestration, Automation and Response (SOAR) platforms Ability to work independently and as part of a collaborative sales team. Experience bringing feedback from the field to the product management and engineering teams to help shape the future direction of products and services. A vibrant and energetic personality, this is a customer facing role :) Previous experience working with and deploying EDR agents (bonus) Previous experience writing scripts using Python and PowerShell to interact with APIs (bonus) Why Push? Work with a passionate, mission-driven team building the future of SaaS security. Flexible, remote-first work environment. Competitive compensation and equity package. Opportunities for growth in a fast-scaling startup. #J-18808-Ljbffr

A cutting-edge robotics company in San Francisco seeks a leader to drive technical strategy and deliver innovative robotic solutions. You will work directly with scientists, manage projects from conception to execution, and contribute to teams focusing on advanced robotics. Ideal candidates possess strong programming and debugging skills, a mechanical engineering background, and a passion for entrepreneurship. Competitive benefits, including 401k and unlimited PTO, are offered. #J-18808-Ljbffr

A leading AV technology company in San Francisco is seeking a skilled Robotics Engineer to develop and deploy features for autonomous vehicles. This role involves system-level debugging, technical leadership during deployments, and collaboration across various teams. The ideal candidate has over 2 years of software development experience, strong programming skills, and a good understanding of robotics concepts. This position requires up to 10% travel for field deployments and flexibility during critical project timelines. #J-18808-Ljbffr

A software company focused on CI is seeking a Solution Engineer to serve as the technical face in the field. The role involves partnering with the Sales team, conducting technical evaluations, and advising customers on CI-optimized cloud solutions. Candidates should have strong technical fluency, hands-on experience with modern CI/CD tools, and excellent communication skills. The position offers significant influence on product direction and an opportunity to solve real customer challenges. #J-18808-Ljbffr

At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible.Our culture is one of respect and collaboration. We value humility and believe in direct communication.Our team is inclusive, and our differing perspectives allow for better solutions.We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. Location: Hybrid, working onsite at our Santa Clara, CA headquarters 3 days per week. The role: Platform Validation Engineer, Customer Platforms - Tech Lead/Principal As a Platform Validation Engineer on our CPE team, you will be responsible for validating the reliability, stability, and performance of d-Matrix accelerator platforms integrated into industry-standard server systems and rack-scale solutions. You'll design and execute test plans that ensure our platforms meet the quality standards required for customer deployment and internal development. What you will do: Develop and execute system-level test plans for platform validation, including stress, thermal, and PCIe interoperability tests. Automate test frameworks and validation workflows to improve test coverage and efficiency. Drive root cause analysis and debug of failures in collaboration with hardware, firmware, and software teams. Ensure platforms meet internal and external quality criteria for production readiness. Document test procedures, results, and validation status across SKUs. What you will bring: Bachelor's or Master's in EE, CS, or related field. 5+ years of experience in GPU server platform validation, preferably with PCIe-based hardware. Preferred: Strong understanding of server architecture, Linux environments, and hardware-software interactions. Experience with test automation (e.g., Python, Bash) and validation tools. Detail-oriented with strong debugging and documentation skills. Experience working with ODM and OEM vendors for GPU servers and rack scale solutions Hands-on experience with Electrical Validation, Functional Validation and High Speed Bus Validation Hands-on experience updating firmware on servers and utilizing custom vendor software tools for debug Stress testing experience Strong debugging skills across hardware (compute and networking) and host/embedded software Equal Opportunity Employment Policy d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We're committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day. d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. #J-18808-Ljbffr

A technology company in Sunnyvale is seeking a Staff Hardware Systems Engineer to lead the development of system firmware and kernel-level software for high-performance server platforms. The ideal candidate has over 8 years of experience in hardware systems development and strong expertise in BIOS and firmware engineering. You will directly influence the company's future by enhancing hardware compatibility and performance. Competitive compensation and benefits are provided, including stock options. #J-18808-Ljbffr

A healthcare technology company based in San Francisco is on a mission to revolutionize healthcare with a new software platform. They are seeking a Staff Product Engineer to tackle complex challenges using Elixir and modern cloud architecture. The ideal candidate will have at least 10 years of experience in software engineering, strong problem-solving skills, and a passion for impactful healthcare solutions. This role supports a hybrid work environment, encouraging collaboration on-site three days a week. #J-18808-Ljbffr

About the Team The Scaling team is responsible for the architectural and engineering backbone of OpenAI's infrastructure. We design and deliver advanced systems that support the deployment and operation of cutting‑edge AI models. Our work spans system software, networking, platform architecture, fleet‑level monitoring, and performance optimization. As part of the Stargate initiative, the Industrial Compute team's mission is to build and operate the foundation that powers our research and products. To deliver on this mission, there is a critical need for advanced lab infrastructure and capabilities to perform rapid prototyping, targeted and end‑to‑end testing, and system qualification across the full software and hardware stack to ensure readiness and stability for fast and smooth deployment of our large‑scale clusters. About the Role We are seeking an experienced engineer to lead advanced R&D, rapid prototyping, and build‑out of in‑house lab infrastructure to support system bring‑up, testing, and qualification for next‑generation systems. In this role, you will: You will work closely with the research, fleet, silicon, hardware health, and external vendors and partners to accelerate system qualification, increase deployment velocity, and improve platform and fleet robustness at scale. You will focus on detailed evaluation and systematic testing of early hardware, including servers, racks, NICs, switches, chips, optics, transceivers, and other lab prototype equipment. Your engineering work will span a broad range of software (systems, firmware, RDMA, collectives, cluster provisioning, orchestration, etc.) and/or hardware solutions (e.g., FPGA development) to manage lab infrastructure, support bring‑up activities and perform extensive characterizations of new hardware through microbenchmarking, fault injection, impairment modelling, localized stress testing, and end‑to‑end evaluations. This role is based in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You might thrive in this role if you: Bachelor's Degree in Computer Science or a related field Strong background in system architecture, large‑scale distributed systems and AI/HPC networking expertise (high performance multipath transport protocols, RDMA, RoCE, Infiniband) 5+ years of software development experience in C/C++ and Python Experience developing and running large‑scale distributed AI workloads Hands‑on lab experience with datacenter hardware (racks, servers, switches, NICs, accelerators, etc.) Experience with low‑level software and/or FPGA hardware development (e.g., firmware or RTL) About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general‑purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US‑based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non‑public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non‑compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

An innovative neurotechnology company in San Francisco seeks a Senior Electronics/Embedded Engineer. This role involves designing and building implantable neurotechnology, focusing on mixed-signal electronics and embedded firmware development. Candidates should have over 5 years of experience, expertise in C/C++ and RTOS, and strong skills in low-noise circuit design. The position offers a dynamic environment with opportunities for professional development and contributions to life-changing technologies. #J-18808-Ljbffr

A cutting-edge neurotechnology startup is seeking an experienced Hardware Test Engineer to verify hardware systems and test custom devices. The ideal candidate will have at least 5 years of experience in testing electro-mechanical hardware, along with strong collaboration and communication skills. This role offers a unique opportunity to work on transformative projects, competitive compensation, and comprehensive benefits in a highly collaborative environment. #J-18808-Ljbffr

A technology company in San Francisco is looking for an experienced Electrical Engineer to contribute to the design and development of wearable electronics. The ideal candidate should have over 10 years of experience in complex electrical engineering projects, possess strong skills in both analog and digital domains, and enjoy working collaboratively across teams. This full-time position offers competitive benefits, including health, dental, and 401k matching, making it a great opportunity for passionate professionals. #J-18808-Ljbffr

A technology company in Sunnyvale is seeking a Staff Hardware Systems Engineer to lead the development of system firmware and kernel-level software for high-performance server platforms. The ideal candidate has over 8 years of experience in hardware systems development and strong expertise in BIOS and firmware engineering. You will directly influence the company's future by enhancing hardware compatibility and performance. Competitive compensation and benefits are provided, including stock options. #J-18808-Ljbffr

Job Title: Senior Electronics/Embedded Engineer Coherence Neuro is a fast‑growing, venture‑backed company pioneering implantable technologies that interface with the human body to address critical unmet medical needs. We're looking for driven individuals who are passionate about pushing the boundaries of engineering and science to solve some of the most complex biological challenges. In this early‑stage environment, we seek versatile team members with a hands‑on approach and a willingness to learn quickly and adapt. We value diversity and encourage applicants from all backgrounds to join us in our mission. Learn about our team here ! We are building our Product Development Team and looking for a Senior Electronics/Embedded Engineer to design and build the next generation of implantable neurotechnology, focusing on both the high‑performance electronics and the firmware that make neural interfaces and stimulation systems work. You will tackle complex hardware‑software challenges, innovate at the edge of neuroscience and medical devices, and help bring transformative technologies from lab to clinic. This is a highly hands‑on role where you will prototype, test, and refine hardware and firmware in a fast‑paced R&D environment Key Responsibilities Own critical elements of the design, development, and integration of mixed‑signal electronics and embedded firmware for implantable neurotechnology systems. Architect and implement low‑level firmware (C/C++/RTOS) including drivers, real‑time data acquisition, stimulation control, and communication stacks. Design and validate analog circuits, optical circuits, low‑noise amplifiers, power management modules, and digital interfaces. Own board bring‑up and hardware/firmware integration testing-debug complex interactions using oscilloscopes, logic analyzers, JTAG/SWD, and custom test rigs. Develop automated firmware/hardware test frameworks for benchtop, in‑vitro, and preclinical environments. Optimize electronics and firmware for low power, low noise, and high‑bandwidth data transfer with long‑term reliability. Collaborate closely with engineering teams on interface definitions and architectural decisions. Document firmware and electronics architecture, design decisions, interface specifications, and verification results under design control and QMS. Mentor junior engineers and help build a high‑performance embedded and electronics team. Required Qualifications and Skills Bachelor's or Master's in Electrical Engineering, Computer Engineering, Embedded Systems, or equivalent. 5+ years of experience developing mixed‑signal hardware and embedded firmware for complex devices. Expertise in C/C++, RTOS development (FreeRTOS/Zephyr/QNX), and hardware‑oriented programming. Bonus if familiarity extends to FPGA based embedded systems. Strong experience with low‑noise circuit design, ADCs/DACs, stimulation circuits, power management, and sensor integration. Strong MCU background, including peripheral configuration, DMA, interrupts, and real‑time constraints. Demonstrated ability to bring up new PCBs and debug cross‑disciplinary issues (electrical, firmware, timing, signal integrity). Experience with ECAD tools (Altium, Cadence) and a strong understanding of PCB design constraints. Familiarity with communication interfaces (SPI, I2C, UART, BLE, custom optical/RF). Familiarity with ISO 13485, IEC 60601, or other relevant standards. Strong documentation, safety‑first mindset, and ability to work within a regulated medical development environment. Strong communication skills and ability to work collaboratively in a interdisciplinary environment. Adaptability to fast‑paced research with dynamic priorities. Strong analytical and problem‑solving skills. Bonus Skills Experience with programming FPGA embedded systems (Verilog). Knowledge of optical communication, LED/photodiode drivers. Experience with inductive power transfer systems or high‑efficiency wireless power links. Experience working with or designing toward ASIC‑based implementations. Reporting Structure This role is an integral part of the product team and reports directly to the VP of Engineering. Benefits US standard compensation: competitive salary and share options. Daily meals provided. Healthcare and 401k. Professional development support and training opportunities. Flexible working hours and travel opportunities (sites in Australia, UK, and US). A chance to work on impactful, life‑changing technologies in a dynamic, innovative environment. If you are passionate about innovation in healthcare, we would love to hear from you! Please submit your application here. #J-18808-Ljbffr