Advanced engineer jobs in San Jose, CA - 2,827 jobs

Nimble is an AI robotics company building the autonomous supply chain to enable fast, efficient, and sustainable commerce. We're developing a general-purpose robot AI and a warehouse generalist superhumanoid robot, the first robot in the world capable of performing all core warehouse functions. We recently closed a $106M Series C at a $1B valuation, and we are continuing to grow our world‑class team. Mission: to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. Vision: invent the Autonomous Supply Chain - everything from the inside of factories and warehouses to your front door - powered by industry‑generalist superhumanoids to deliver faster, more efficient, and more sustainable commerce. Proudly led by founders from Stanford and Carnegie Mellon and a board featuring Marc Raibert (founder of Boston Dynamics), Sebastian Thrun (founder of GoogleX, Waymo), and Fei‑Fei Li (Chief Scientist of AI at Google). Join us and leave your mark on the future of robotics, AI, and global commerce. Core Values Be relentlessly resourceful - Challenge conventions and overcome obstacles. Be legendary - Be the very best and do work that inspires. Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission. Be dependable - Take ownership and deliver with high agency. About the Role You will own the development and architecture of our next‑generation robotics diagnostic system, which is crucial for improving the reliability and maintainability of the robotic fleet. This system must proactively detect and surface anomalies across the entire robot stack-from low‑level firmware glitches to complex hardware failures-either automatically during operation or upon manual trigger. You will be the architect of the diagnostic data structure, translating complex sensor readings and error logs into actionable, easy‑to‑read health reports that accelerate root cause analysis for engineering, manufacturing, and support teams. This role requires tight collaboration with our Embedded Software and Infrastructure teams, and the Operations team to build a robust, scalable data pipeline. Key Responsibilities Design, implement, and maintain the on‑robot diagnostic framework, enabling both autonomous background checks and on‑demand manual diagnostic scans. Define the diagnostic data schema, ensuring efficient, standardized, and human‑readable reporting of fault codes, event logs, and status checks. This data structure must be scalable and optimized for use by both on‑robot systems and cloud‑based analytics tools. Work closely with embedded software and hardware teams to develop sophisticated diagnostic routines that surface hardware issues, abnormal sensor behavior (e.g., drift, noise, and communication failures), motor anomalies, and transient firmware glitches. Collaborate with the Infrastructure team to architect and build the data pipeline responsible for reliably collecting, storing (e.g., S3 or data lake), and processing high volumes of diagnostic data from the robot fleet. Ensure diagnostics generate clear, prioritized, and contextualized reports that summarize the state of the robot, enabling engineers to quickly understand the root cause of an abnormality without extensive log diving. Qualifications BS or MS in Computer Science, Electrical Engineering, Robotics, or a related technical discipline. 3+ years of professional experience in developing diagnostics, monitoring, or telemetry systems for complex electro‑mechanical devices, robotics, or embedded systems. Proficiency in software development (e.g., C++, Python) with specific experience in writing testable, robust code for embedded environments or robotics middleware. Experience with data structuring, schema design, and working with data ingestion pipelines (e.g., utilizing message queues, time‑series databases, or cloud data storage). Deep understanding of common robotics hardware and firmware failure modes, including motor control systems, sensor interfaces (e.g., CAN, I2C, Serial, USB), and power management systems. Technical triaging skills, familiarity with Ishikawa diagram are big plus. Familiarity with interpreting hardware schematics and leveraging low‑level system logs to identify failure points. Salary and Equity $145,000 - $190,000 a year. The range above is the salary range. This position will also receive generous equity. Culture We embrace challenges and strive to make the impossible possible each day. We're not in this to do what's easy or to be mediocre. We want to create something legendary and leave our mark on the world. We're ambitious, we're gritty, we're humble and we're relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit! Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws. Nimble's Benefits Paid Time Off - Enjoy the time you need to travel, rejuvenate, and connect with friends and family. Health Insurance - Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family. Paid Parental Leave - Enjoy paid bonding time following a birth. Commuter Benefits - Take the stress out of commuting with access to fully‑paid parking spots. Referral Bonus - Get a cash bonus for any friend or colleague that you refer to us that we end up hiring. 401k - Contribute towards a 401k for retirement planning. Equity - Be an owner in Nimble through our equity program. #J-18808-Ljbffr

Atomic Semi is building a small, fast semiconductor fab. It's already possible to build this with today's technology and a few simplifications. We'll build the tools ourselves so we can quickly iterate and improve. We're building a small team of exceptional, hands-on engineers to make this happen. Mechanical, electrical, hardware, computer, and process. We'll own the stack from atoms to architecture. Our team is optimistic about the future and we want to continue pushing the limits of technology. Smaller is better. Faster is better. Building it ourselves is better. We believe our team and lab can build anything. We've set up 3D printers, a wide array of microscopes, e-beam writers, general fabrication equipment - and whatever is missing, we'll just invent along the way. Atomic was founded by Sam Zeloof and Jim Keller. Sam is best known for making chips in his garage, and Jim has been a leader in the semiconductor industry for the past 40 years. About the role As a Process Development Engineer at Atomic Semi, you'll bridge the critical interface between BEOL processing and advanced packaging, developing novel integration schemes for next-generation semiconductor devices. We're looking for someone with hands-on experience in interconnect metallization, dielectric processes, or chip-to-package connections, combined with an eagerness to push beyond conventional approaches. You'll need to digest complex technical literature while translating nanofabrication fundamentals into practical process solutions. This is a high-ownership role with lots of autonomy in a fast-moving startup environment. You'll have the opportunity to contribute to novel R&D processes and influence tool design. Candidates should have hands-on cleanroom experience and a track record of developing nanofabrication recipes from scratch, ideally across multiple process steps. Responsibilities Develop and optimize bond pad structures (e.g., UBM, RDL pads, and other interconnect schemes) for advanced packaging applications Characterize material interfaces using SEM, EDX, and electrical testing to ensure reliable chip-to-package connections Generate process specifications and transfer recipes from R&D to production Collaborate with packaging team to troubleshoot issues related to BEOL structures Analyze failure modes at the BEOL-package interface and implement corrective actions Required Experience PhD in Materials Science, Chemical Engineering, Electrical Engineering, or related field (or MS with 2+ years relevant experience) Hands-on experience with at least one BEOL process: interconnect metallization, dielectric deposition, UBM, or bond pad fabrication Understanding of chip attach processes and their interaction with BEOL structures Experience with material characterization techniques (SEM, cross-sectioning, electrical testing) Nice-to-have Experience with flip-chip, WLCSP, or advanced packaging technologies Working at Atomic Semi We're an early-stage hardware startup with solid funding, world-class advisors, and a lab/office in San Francisco, CA. Compensation: Atomic Semi is committed to fair and equitable compensation practices. The annual salary range for this role is $117,000 - $188,000. Compensation is determined based on your qualifications and experience. Our total compensation package also includes generous equity in Atomic Semi. Benefits: Atomic Semi offers the following benefits, subject to applicable eligibility requirements: Medical, Dental, and Vision insurance Generous Paid Time Off inclusive of Holidays and Sick Time Visa Sponsorship Life and Disability Insurance Paid Parental Leave 401(k) retirement plan Weekly Learning & Development opportunities Commuter Benefits including Parking and Late Night Uber rides from the office Lunches daily, Dinners 3x per week, Stocked Office Kitchen with Snacks and Spindrifts We are an equal-opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Export Control Analysis:This position involves access to technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant's capacity to serve in compliance with U.S. export controls. #J-18808-Ljbffr

A robotics company in Sunnyvale is seeking a Machine Learning Engineer to lead the development of advanced AI systems for multipurpose humanoid robots. The role emphasizes collaboration and responsibility in creating robust learning algorithms that enable functionality across diverse environments. Ideal candidates possess a strong programming background and experience in robotic applications. Apply by submitting your resume and work examples to the provided email. #J-18808-Ljbffr

A technology company is seeking a Platform Validation Engineer to ensure the reliability and performance of their GPU servers. This role involves developing test plans, debugging hardware and software interactions, and automating validation workflows. Candidates should have a Bachelor's or Master's degree in EE or CS with over 5 years of experience in GPU server platform validation. The position offers a hybrid work model at the Santa Clara headquarters. #J-18808-Ljbffr

Zendar is looking for a robotics engineer with a focus on path planning and trajectory prediction to join our Berkeley office. Zendar develops one of the best vehicular perception systems for automotive based on a 360‑degree radar/camera system. Now we are expanding our capabilities to deliver full driving functions. We are not bogged down by legacy systems and by joining us, you have the opportunity to define and own the driving system. About Zendar: Autonomous vehicles need to be able to understand the world around them not only in bright daylight, but also at night, when it is foggy or rainy, or when the sun is shining right in your face. At Zendar, we make this possible by developing the highest‑resolution, most information‑rich radar in the world. What makes radar powerful - its long wavelength which makes it robust to all sorts of weather and lighting conditions - also makes it really challenging to work with. We have used our deep understanding of radar physics to build radar perception models that bring a rich and complete understanding of the environment around the AV from free space to object detections to road structure. Check out what our technology can do here - all produced with only radar information, no camera and no lidar! Zendar has a diverse and dynamic team of hardware, machine learning, signal processing and software engineers with a deep background in sensing technology. We have a global team of 60, distributed across our sites in Berkeley, Lindau (Germany), and Paris. Zendar is backed by Tier‑1 VCs, has raised more than $50M in funding and has established strong partnerships with industry leaders. Your Role: Zendar's Semantic Spectrum perception technology extracts a rich scene understanding from radar sensing. Our next goal is to build an AV planner which can use this information to deliver more reliable operation in any weather and lighting, and faster responsiveness when operating at high speeds. This will demonstrate how more informative radar sensing, fused with other sensor modalities, can solve hard challenges in AV deployment on freeways and in challenging weather conditions. We are seeking an experienced Robotics Engineer specializing in path and trajectory planning to join our engineering team. In this role, you will develop and optimize motion planning algorithms to perform highway Navigation on Autopilot (NoA) and eventually scale to city. The ideal candidate will have deep expertise in motion planning theory, optimization techniques, and real‑time algorithm implementation. Being the first path planner engineer on the team, you will take significant ownership of the design and implementation of our path planning and trajectory prediction pipeline. This is an ideal position for an engineer who enjoys building path planning systems and validating them in real‑world driving scenarios. In this role you will have a close communication and collaboration with the platform, machine learning and perception teams. You will work with our real‑world dataset of tens of thousands of kilometers collected in multiple continents and geographies. We also have a test vehicle with actuation enabled which serves as a test platform for all planning and driving functions - today it can do adaptive cruise control (ACC), but your goal would be to expand those capabilities! What We Look For: Proficiency with Python and C++ 3+ years of experience in motion planning, path planning, or trajectory optimization Hands‑on experience designing and implementing path planning and trajectory prediction models in relevant fields including robotics and ADAS Familiarity with professional software development tools, such as source control (git), unit testing, and profiling Strong communication and cross‑functional collaboration skills Bonus Points: Experience with Model Predictive Control (MPC) or other predictive planning techniques Knowledge of machine learning approaches for motion planning (learning‑based planners, neural motion planning) Good understanding of challenges in machine learning pipeline design such as data collection and processing, model test and evaluation What We Offer: Opportunity to make an impact at a young, venture‑backed company in an emerging market Competitive salary ranging from $140,000-$190,000 annually depending on experience Performance based Bonus Benefits including medical, dental, and vision insurance, flexible PTO, and equity Hybrid work model: in office 3 days per week from Tuesday to Thursday, the rest… work from wherever! Daily catered lunch and a stocked fridge (when working out of the Berkeley, CA office) Zendar is committed to creating a diverse environment where talented people come to do their best work. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Zendar participates in E‑Verify #J-18808-Ljbffr

About Medra At Medra, we're building an autonomous robotic platform that enables scientists to automate complex laboratory protocols and achieve continuous science with unmatched precision and scalability. By combining advancements in AI, robotics, computer vision, and natural language processing, we are transforming how science is done to tackle some of humanity's greatest challenges-from curing disease to advancing climate technology and beyond. Our goal is to enable the next biggest leap in scientific discovery, unlocking a world where experimental data generation is no longer limited by the pace of human scientists or the rigidity of traditional lab automation. This is an ambitious mission, but we believe that a team of ambitious people with high ownership can accomplish incredible things. The Team We're a team of passionate, mission-driven engineers from companies like Tesla, Amazon, SpaceX, and Neuralink. We're collaborative, love moving fast, and balance intensity with curiosity-whether we're building, testing, or learning something new. We value straightforward communication, hands‑on problem‑solving, and resolving challenges quickly and empathetically. About the Role We're looking for a Forward Deployed Robotics Engineer to act as a technical co‑founder for high‑impact customer projects. You'll work closely with partner scientists to deliver end‑to‑end robotic solutions that bring their research to life. This is a deeply hands‑on, entrepreneurial role combining engineering rigor with field execution. What You'll Do Operate like the technical co‑founder of a small startup within Medra, owning end‑to‑end delivery of customer projects. Partner with scientists to rapidly develop and deploy solutions to their most critical challenges. Set technical strategy and define roadmaps to meet project goals. Travel up to 30% to customer sites for hands‑on support, troubleshooting, and integration. Develop robotic solutions to manipulate and control biology tools designed for human operators. Integrate, test, and debug software solutions in simulation and on physical robots. Balance performance with simplicity and scalability, identifying opportunities for design optimization. Take ownership of complex robotics projects from conception to delivery. What We're Looking For 1-3 years of experience designing and working with robotics systems. Proven ability to solve complex problems creatively and communicate effectively with diverse stakeholders. Experience writing code for robotics systems (Python preferred). Strong mechanical intuition and hardware assembly/debugging skills. Familiarity with mechanical engineering tools and best practices in production. Comfortable working across hardware and software domains. A hacker's mindset - fast iteration and practical problem‑solving. Experience or familiarity with robot arm manipulators. BS/MS in Mechanical Engineering, Robotics, Mechatronics, Electrical Engineering, Aeronautical Engineering, or related field (or equivalent experience). Entrepreneurial drive with a desire for broad ownership and autonomy. Bonus Points Experience with software engineering tools and best practices in production. Prior startup experience or technical leadership roles. Experience with robotics in laboratory or manufacturing environments. Familiarity with simulation systems such as MuJoCo. Experience designing, building, and testing hardware systems. Understanding of software communication protocols (ZMQ, Redis, gRPC, etc.). Contributions to shipped hardware/software products. Research or work experience in ML, computer vision, motion planning, trajectory optimization, control, or SLAM. What We Offer 401(k) plan Medical, dental, and vision insurance Relocation benefits Unlimited PTO Weekday dinners provided Note: This position is 100% onsite in San Francisco, CA. Medra does not offer hybrid roles, but relocation support is available. #J-18808-Ljbffr

Our mission is to create advanced robots that can operate in complex environments, reducing human risk in conflict zones and enhancing efficiency in labor-intensive industries. We are on the lookout for extraordinary engineers and scientists to join our team. Your previous experience in robotics isn't a prerequisite - it's your talent and determination that truly count. We expect that many of our team members will bring diverse perspectives from various industries and fields. We are looking for individuals with a proven record of exceptional ability and a history of creating things that work. Our Culture We like to be frank and honest about who we are, so that people can decide for themselves if this is a culture they resonate with. Please read more about our culture here ****************************** . Who should join: You like working in person with a team in San Francisco. You deeply believe that this is the most important mission for humanity and needs to happen yesterday. You are highly technical - regardless of the role you are in. We are building technology; you need to understand technology well. You care about aesthetics and design inside out. If it's not the best product ever, it bothers you, and you need to “fix” it. You don't need someone to motivate you; you get things done. Why are We Hiring for this Role: Design, develop, and optimize reinforcement learning algorithms for real-time control and locomotion of humanoid robots. Integrate learned policies into real-world robot platforms with hardware-in-the-loop validation. Collaborate with mechanical, perception, and embedded systems teams to ensure tight integration between hardware and software. Apply advanced techniques such as curriculum learning, domain randomization, and sim2real transfer to improve policy generalization. Analyze and optimize control performance with a focus on robustness, energy efficiency, and adaptability. Contribute to the continuous development of our in-house RL training pipelines and tooling. 2+ years of experience in reinforcement learning applied to robotics or control systems. Strong understanding of classical and modern control theory, locomotion dynamics, and optimization techniques. Hands-on experience with physics simulation environments (e.g., MuJoCo, Isaac Gym, PyBullet). Proficiency in Python and/or C++ for algorithm development and deployment. Experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Familiarity with ROS/ROS2 and real-time robotic systems. What Kind of Person We Are Looking For: 2+ years of experience in machine learning (NNs, LVMs) and reinforcement learning applied to robotics or similar realtime environments. Hands-on experience with physics simulation environments (e.g., MuJoCo, Isaac Lab). Proficiency in Python and C++ for algorithm development and deployment. Experience with deep learning frameworks (e.g., PyTorch, JAX, TensorFlow). Familiarity with ROS/ROS2 and real-time robotic systems. Experience deploying RL algorithms on physical robots. Experience with high-performance computing for distributed training. Contributions to open-source RL or robotics projects. M.Sc. or Ph.D. in Robotics, Computer Science, Mechanical Engineering, or a related field. We provide market standard benefits (health, vision, dental, 401k, etc.). Join us for the culture and the mission, not for the benefits. The annual compensation is expected to be between $80,000 - $1,000,000. Exact compensation may vary based on skills, experience, and location. #J-18808-Ljbffr

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples' lives. About the Role We are hiring a Simulation Realism Engineer to drive our effort to make simulation quantitatively real for robotics research and product development. This role owns the strategy, tooling and operational practice that close sim→real gaps across physics, sensors and rendering. You will work cross-functionally with research, software, hardware and ops to discover the highest-impact realism gaps, define measurable realism metrics, and deliver engineering solutions - from tuning engine parameters and asset standards to integrating third-party engines and operating sims at scale. This is a hands‑on engineering role that blends scientific rigor (measurement & validation) with pragmatic systems work (tooling, cloud ops, and CI/HIL pipelines). This role is based in San Francisco, CA. This role will require 4 days in the office per week and offer relocation assistance to new employees. In this role, you will: Define and operationalize realism metrics & protocols. Design experiments and automated tests to find specific areas of non‑realism, quantify gaps, and track regressions over time. Fine‑tune engine parameters (contacts, friction, mass/density, solver settings) and object models so simulated dynamics match measured reality. Evaluate, integrate, and - where necessary - extend 3rd‑party physics, rendering, and sensor simulation engines (e.g., Isaac, PhysX, MuJoCo, video renderers or sensor sim frameworks). Lead vendor POCs and benchmark features to influence roadmaps. Create standards, guidelines, and interactive tools for authoring and validating asset physical/visual properties; implement semi‑ or fully‑automated pipelines to tune and optimize assets for target engines. Solve technical issues for running engines in the cloud (OS, drivers, GPU), parallelize simulations (batching many runs per engine instance), and harden real‑world‑facing pipelines so sims can run reliably at scale. Own validation campaigns (teleop, HIL regression suites, metric computation) and partner with research to close the loop between simulation improvements and downstream model performance. Document and scale best practices. Produce ergonomic templates, docs, and standards so dozens of engineers and researchers can author realistic tasks and assets quickly. You might thrive in this role if you: Have a strong mathematical & physics background - rigid/soft‑body dynamics, contact mechanics, or FEA - and are comfortable reasoning about solvers and numerical stability. Have hands‑on experience with at least one or two production physics engines and sensor/render stacks (MuJoCo, PhysX, Isaac Sim, Newton, GPU renderers, or equivalent), and know how to measure/interpret their failure modes. Enjoy plumbing every layer of the sim stack: CAD/asset import, collision/visual mesh tradeoffs, contact tuning, real‑time loading, and rendering pipelines. Have led projects that bridge sim and robotics, such as teleoperation data collection, hardware‑in‑the‑loop regression tests, or digital twin efforts. Experienced building robust tools and processes - CI for sims, asset validation pipelines, or distributed GPU workloads - and care about documentation and ergonomics that let others be productive. Can collaborate broadly: you want to work directly with researchers to design experiments, with SWE/RE to ship tooling, and with vendors to run benchmarks and influence product roadmaps. 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 Affine 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

Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripe's experience in global payments and Paradigm's expertise in crypto tech. Tempo's payment-first design provides a scalable, low-cost predictable backbone that meets the needs of high-volume payment use cases. Our goal is to move money reliably, cheaply, and at scale. Our north star is simplicity for users: fintechs, traditional banks, merchants, platforms, and anyone else looking to move their payments into the 21st century. We're building Tempo with design partners who are global leaders in AI, e-commerce, and financial services: Anthropic, Coupang, Deutsche Bank, DoorDash, Mercury, Nubank, OpenAI, Revolut, Shopify, Standard Chartered, Visa, and more. We're a team of crypto-optimists, building the infrastructure needed to bring real, substantial economic flows onchain. Our team primarily works in-person out of our San Francisco and NYC offices. We like to move fast and swing for the fences - join us! The Role This person would work closely with researchers at Tempo, Paradigm, Stripe, and our design partners to invent the future of the Tempo protocol. Responsibilities Design new protocol-level features to solve problems like privacy, capital efficiency, and scaling Pressure-test ideas with the rest of the team and the community Prototype reference implementation into new features and ship into production Explain novel inventions to users, partners, and the world Qualifications Experience with protocol research on topics like consensus, scaling, cryptography, liquidity, and MEV Demonstrated experience shipping production-level features for DEXs, L1s, L2s, or other onchain products. Ability to write, test, and optimize Solidity code. Deep understanding of EVM blockchains, including features like account abstraction and gas metering Interest in using crypto to solve real-world problems around payments Attributes Razor-sharp thinker with precise command of language Concise, evidence-based storytelling ability Excellent organizational and logistical skills Intense curiosity and open-mindedness Scrappiness; willingness to roll up sleeves Growth mindset #J-18808-Ljbffr

Eridu AI is a Silicon Valley-based hardware startup pioneering infrastructure solutions that accelerate training and inference for large-scale AI models. Today's AI performance is frequently limited by system-level bottlenecks. Eridu AI delivers multiple industry-first innovations across semiconductors, software, and systems to unlock greater GPU utilization, reduce capital and power costs, and maximize data center efficiency. The company's solutions and value proposition have been validated by several leading hyperscalers. The company is led by a veteran team of Silicon Valley executives and engineers with decades of experience in state-of-the-art semiconductors, optics, software, and systems, including serial entrepreneur Drew Perkins, co-founder of Infinera (NASDAQ: INFN), Lightera (acq. by Ciena), Gainspeed (acq. by Nokia) and Mojo Vision (World's leading micro-LED company and developer of the first augmented reality contact lens). Position Overview We are hiring multiple positions from Sr. Engineer to Principal Engineer. We are looking for a highly experienced Post-Silicon ASIC Validation Engineerwith deep expertise in networking ASICs and chiplet-based architectures. You will lead bring-up, validation, and characterization of complex multi-die systems integrating high-speed interconnects such as UCIe, SerDes, PCIe, and Ethernet PHYs. This position offers the opportunity to work on next-generation networking SoCs and disaggregated chiplet platforms, collaborating across architecture, design, firmware, and system teams to ensure first-silicon success and robust product readiness. Responsibilities Drive post-silicon validationand bring-upof networking ASICs and chiplet-based SoCs. Own validation planning, coverage definition, and test execution across UCIe, SerDes, and networking subsystems. Develop automation and test infrastructurefor high-speed link and protocol validation (Python). Perform silicon bring-up, including power sequencing, link training, and PHY initialization. Execute link-level and system-level validationof UCIe interfaces, die-to-die interconnects, and high-bandwidth chiplet fabrics. Debug complex cross-domain issuesspanning RTL, firmware, analog PHY, and package-level interactions. Characterize signal integrity, latency, throughput, and thermal/power behavioracross PVT corners. Collaborate with board design and test engineeringteams on validation platforms, sockets, and characterization boards. Qualifications B.S. or M.S. in Electrical Engineering, Computer Engineering, or related field. Experience in post-silicon validation and bring-upof complex ASICs or SoCs. Hands-on experience with UCIe, PCIe and high-speed interconnect standards. Proficiency in Python for scripting, automation, and data analysis. Strong lab experience using oscilloscopes, BERTs, logic analyzers, and JTAG-based debuggers. Excellent communication skills and experience working in cross-functional silicon development teams. Preferred Qualifications Experience with chiplet-based systems, UCIe protocol stack validation, and multi-die integration challenges(power delivery, timing, thermal). Familiarity with emulation or FPGA prototyping platforms for pre-silicon validation. Exposure to hardware/software co-validationfor networking protocols or control-plane software. Strong knowledge of package-level interactionsand signal integrity analysisfor high-speed interfaces. Why Join Us? At Eridu AI, you'll have the opportunity to shape the future of AI infrastructure, working with a world-class team on groundbreaking technology that pushes the boundaries of AI performance. Your contributions will directly impact the next generation of AI networking solutions, transforming data center capabilities. The starting base salary for the selected candidate will be established based on their relevant skills, experience, qualifications, work location, market trends, and the compensation of employees in comparable roles. The pay range for this role is: 185,000 - 250,000 USD per year (San Francisco Bay Area) #J-18808-Ljbffr

About Sorcerer Sorcerer is deploying a global network of persistent airborne sensors to fuel weather forecasting. Our high-altitude balloons collect 1000x more data than existing systems and are already used daily by meteorologists to track extreme weather across the US and Central America. We are a well-funded early-stage Y Combinator backed startup based in San Francisco, CA. This is an opportunity to join at an early stage, where you have an outsized impact across the company every day. About the role As a Manufacturing Engineer at Sorcerer you'll be responsible for developing manufacturing tooling and processes for both our vehicle and avionics hardware. We are rapidly scaling our sensing network to hundreds of active flight systems making this an incredibly important role with runway for huge and immediate impact. Responsibilities Develop avionics manufacturing and test fixtures Work within engineering team to refine designs for manufacturability Develop assembly procedures and test plans Assemble and test production flight hardware when needed Required Skill & Experience Ability to troubleshoot electronic systems Experience with test automation frameworks (e.g., Open HFT, Pytest) Highly proficient in soldering and assembly Ideal Candidates Have experience managing supply chains and PCBA contract manufacturing Have experience working with plastic films Have experience working in startups and small independent teams Succeed with a high level of autonomy Location This is an in-office role at our HQ in SoMa, San Francisco Benefits 401k Unlimited PTO 100% Health, Dental, Vision Company paid life insurance All relocation costs covered (if applicable) Catered lunch every day Fully-stocked office kitchen Commute/parking stipend OR monthly proximity benefit if you relocate to within 30m walk of the office Hiring exceptional people is our top priority, and we believe that exceptional people often have unusual backgrounds. Don't be discouraged from applying if you don't hit every qualification. We are an equal-opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. #J-18808-Ljbffr

A tech company focused on hardware innovation is seeking a Manufacturing Engineer to bridge hardware design and scalable production. This critical role involves collaborating with engineers for manufacturable and reliable products, managing inventory systems, and implementing quality processes. Candidates should have over 3 years of experience in manufacturing engineering and a strong understanding of DFM/DFA principles. This position offers an opportunity to work at the intersection of design and production in a fast-paced environment. #J-18808-Ljbffr

Handshake is recruiting Electronics Engineer professionals to contribute to an hourly, temporary AI research project-but there's no AI experience needed. In this program, you'll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model's understanding of your workplace tasks and language. The Handshake AI opportunity runs year‑round, with project opportunities opening periodically across different areas of expertise. Details The position is remote and asynchronous; work independently from wherever you are. The hours are flexible, with no minimum commitment, but most average 5‑20 hrs. The work includes developing prompts for AI models that reflect your field, and then evaluating responses. You'll learn new skills and contribute to how AI is used in your field. Your placement into a project will be dependent on project availability-if you apply now and can't work on this project, more will be available soon. Qualifications You have at least 4 years of professional experience in one or more of the following types of work. The examples below reflect the types of real‑world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high‑quality AI models Design and develop electronic components and systems for various applications, ensuring technical adequacy and compatibility. Operate specialized software for engineering tasks and provide technical support to staff or customers. Evaluate and recommend modifications to enhance performance, considering factors like cost and system capabilities. You're able to participate in asynchronous work in partnership with leading AI labs. Application Process Create a Handshake account Upload your resume and verify your identity Get matched and onboarded into relevant projects Start working and earning Work authorization information F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school's requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI. #J-18808-Ljbffr

Mentor Technical Group (MTG) provides a comprehensive portfolio of technical support and solutions for the FDA-regulated industry. As a world leader in life science engineering and technical solutions, MTG has the knowledge and experience to ensure compliance with pharmaceutical, biotechnology, and medical device safety and efficacy guidelines. With offices in Caguas, PR, Boston, MA & San Francisco, CA and we serve life sciences clients in six global markets: United States, Puerto Rico, Dominican Republic, Mexico, Germany, Canada, and South America. Responsibilities Engineering Experience in Medical Device Industry Problem Solving Knowledge (Yellow or Green Belt knowledge) Responsibilities may include the following and other duties may be assigned. Designs manufacturing processes, procedures and production layouts for assemblies, equipment installation, processing, machining and material handling. Designs arrangement of machines within plant facilities to ensure most efficient and productive layout. Designs sequence of operations and specifies procedures for the fabrication of tools and equipment and other functions that affect product performance. Adapts machine or equipment design to factory and production conditions. May incorporate inspection and test requirements into the production plan. Inspects performance of machinery, equipment, and tools to verify their efficiency, and investigates and initiates corrective action of problems and deficiencies to ensure product quality. Develops manufacturing processes that are applicable to statistical process control, and may develop those techniques. Provides guidance to engineering regarding design concepts and specification requirements to best utilize equipment and manufacturing techniques. Ensures processes and procedures are in compliance with regulations. Qualifications Requirements/Knowledge/Education/Skills BBA in Engineering Knowledge in CSV Problem Solving Knowledge (Yellow or Green Belt knowledge) Mentor Technical Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. #J-18808-Ljbffr

Atomic Semi is building a small, fast semiconductor fab. It's already possible to build this with today's technology and a few simplifications. We'll build the tools ourselves so we can quickly iterate and improve. We're building a small team of exceptional, hands‑on engineers to make this happen. Mechanical, electrical, hardware, computer, and process. We'll own the stack from atoms to architecture. Our team is optimistic about the future and we want to continue pushing the limits of technology. Smaller is better. Faster is better. Building it ourselves is better. We believe our team and lab can build anything. We've set up 3D printers, a wide array of microscopes, e‑beam writers, general fabrication equipment - and whatever is missing, we'll just invent along the way. Atomic was founded by Sam Zeloof and Jim Keller. Sam is best known for making chips in his garage, and Jim has been a leader in the semiconductor industry for the past 40 years. About the role As a Process Development Engineer at Atomic Semi, you'll be responsible for experiment design and execution of new semiconductor and thin‑film fabrication methods. We're looking for someone with both a strong understanding of traditional semiconductor processing methods and an open-mindedness to new techniques. It'll be helpful if you have the ability to digest and filter a large body of existing work (academic papers, books, etc.) This is a high‑ownership role with lots of autonomy in a fast‑moving startup environment. You'll have the opportunity to contribute to novel R&D processes and influence tool design. Candidates should have hands‑on cleanroom experience and a track record of developing nanofabrication recipes from scratch, ideally across multiple process steps. Responsibilities Work in the lab to design and run experiments alongside senior process engineers Read academic papers and technical literature to inform experimental design; whiteboard ideas and iterate quickly Learn and operate a range of semiconductor tools, including deposition, etch, lithography, and metrology systems Develop, transfer, and optimize process recipes across platforms with a focus on consistency, yield, and throughput Analyze process data, troubleshoot recipe or equipment issues, and clearly document findings and results for the team Required Experience BS, MS or PhD in Electrical Engineering, Materials Science, Chemical Engineering or related field. Hands‑on cleanroom experience with multi‑step fabrication flows. Hands‑on experience running multi step fabrication flows. Experience operating thin film deposition, dry etch, and lithography tools. Recipe development and optimization for some subset of thin film deposition, dry etch, or lithography. Familiarity with key metrology such as ellipsometry, profilometry, SEM, etc. Nice‑to‑have Mechanical or maintenance experience with fab tools Full device‑flow experience Working at Atomic Semi We're an early‑stage hardware startup with solid funding, world‑class advisors, and a lab/office in San Francisco, CA. Compensation Atomic Semi is committed to fair and equitable compensation practices. The annual salary range for this role is $117,000 - $150,000. Compensation is determined based on your qualifications and experience. Our total compensation package also includes generous equity in Atomic Semi. Benefits Medical, Dental, and Vision insurance Generous Paid Time Off inclusive of Holidays and Sick Time Visa Sponsorship Life and Disability Insurance Paid Parental Leave 401(k) retirement plan Weekly Learning & Development opportunities Commuter Benefits including Parking and Late Night Uber rides from the office Lunches daily, Dinners 3x per week, Stocked Office Kitchen with Snacks and Spindrifts We are an equal‑opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Export Control Analysis This position involves access to technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant's capacity to serve in compliance with U.S. export controls. #J-18808-Ljbffr

A leading AI research company in San Francisco seeks a Simulation Realism Engineer. In this hands-on role, you will define and operationalize realism metrics for robotics simulation. You will fine-tune engine parameters and evaluate third-party physics engines to align simulations with real-world dynamics. Collaborate across teams to close gaps between simulation and reality, contributing to cutting-edge robotics research and product development. Relocation assistance available. #J-18808-Ljbffr

A blockchain company in San Francisco is seeking a candidate to innovate the Tempo protocol and collaborate with industry experts. The ideal applicant will possess substantial experience in protocol research, particularly regarding consensus and scaling, as well as strong abilities in Solidity. This role emphasizes the design of new features while addressing privacy and efficiency, contributing to the evolution of payment solutions in the crypto space. #J-18808-Ljbffr

A leading technical solutions provider is seeking an engineer specialized in the medical device industry. The role involves designing manufacturing processes and ensuring compliance with safety regulations. Candidates should have a BBA in Engineering, knowledge in CSV, and problem-solving skills (Yellow or Green Belt). The position offers an opportunity to work with innovative technologies in a dynamic environment located in Caguas, Puerto Rico. #J-18808-Ljbffr

A robotics innovation firm in San Francisco is seeking talented engineers to design custom electronics for advanced robotic systems. The ideal candidate has a proven track record in embedded systems and sensor integration, along with strong firmware skills in C/C++. With a focus on innovation, the role involves collaborating with diverse teams to develop cutting-edge technologies. The annual compensation ranges from $150,000 to $300,000, based on experience and skills. Join us and contribute to a mission that prioritizes humanity's future. #J-18808-Ljbffr