Product engineer jobs in Milpitas, CA - 6,608 jobs
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Research And Development Engineer
On-Device CVML Engineer for Spatial AI
Apple Inc. 4.8
Product engineer job in Sunnyvale, CA
A leading technology company in Sunnyvale is seeking a dedicated engineer for machine learning systems, focusing on AI and spatial computing. The role requires expertise in deep learning frameworks and strong programming skills in C++, Swift, and Python. Responsibilities include developing advanced AI systems, collaborating with cross-functional teams, and pushing the boundaries of innovation with real-world applications. This position offers competitive compensation with a base pay range of $181,100 to $318,400, alongside comprehensive benefits.
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$181.1k-318.4k yearly 3d ago
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Senior Product Design Engineer
Epoch Biodesign
Product engineer job in San Bruno, CA
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.
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$150k-175k yearly 2d ago
Product Engineer: Build Developer-First AI Tools
Cognition 4.2
Product engineer job in San Francisco, CA
A cutting-edge AI lab in San Francisco is seeking experienced end-to-end engineers to join their small, talent-dense team. The role involves building innovative software products, enhancing user experiences, and collaborating closely with product teams. Ideal candidates should have experience with Python, Typescript, and React. Strong achievers who thrive in fast-moving environments are encouraged to apply.
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$90k-126k yearly est. 1d ago
AI Product Engineer
AGI, Inc. 4.0
Product engineer job in San Francisco, CA
Think Different. Build the Future. 🚀Our Mission
Build everyday AGI. Trustworthy, consumer-grade agents that redefine human-AI collaboration for millions. Software shouldn't wait for commands; it should partner with you, amplifying what you can do every single day.
Why AGI, Inc.
We're a stealth team of elite ex-founders, Stanford and Berkeley AI researchers, and DeepMind alumni.
With years of agent research, our platform runs live agent workflows with 99.9% reliability. We are supported by tier-1 investors who funded the first wave of AI giants; now they're backing us to deliver the next, everyday AGI.
If you see possibility where others see limits, read on.
About the Role
You'll be one of the very first engineers shaping our core product and reimagining how people integrate AI companions into their day-to-day workflows.
Expect to:
Think from zero. Whiteboard the concept in the morning and demo it by evening.
Own the stack. Backend, frontend, model orchestration, observability-whatever removes friction between idea and shipped product.
Bridge research and delight. Sit beside scientists, translate breakthroughs into polished consumer experiences, and push them to production in days, not quarters.
Define the bar. Establish the engineering, design, and reliability standards that every future hire will follow.
Move markets. Your features won't live in a sandbox, they'll redefine how everyday people trust and collaborate with AI.
You'll be leading initiatives from conceptual design to production deployment, iterating quickly and putting real user feedback at the heart of product decisions.
Key Responsibilities
Harness frontier LLMs. Turn GPT-5, Llama, and custom models into memory, reasoning, and planning that feel like magic.
Craft end-to-end experiences. Design, code, and ship full-stack features. Python, TypeScript, Postgres, GPU infra, whatever it takes.
Prototype at lightning speed. Mon: idea. Tue: v1. Wed: users break it. Thu: flawless v2.
Engineer for trust. Single-digit-ms paths, sandboxed execution, telemetry everywhere.
Invent agentic primitives. APIs, eval harnesses, and safety guardrails that lets new research ship to millions.
Listen, iterate, delight. Sit with users, absorb the pain, and turn feedback into joy.
You Bring
3-8 yrs shipping zero-to-one or hyper-growth products.
At least one live, LLM-powered feature or agent in the wild.
Fluency across the stack from React/Svelte down to k8s & GPU queues.
Design sense that refuses awkward clicks or dead pixels.
Love for in-person collaboration; ready to build in SF.
Our Culture
🏢 All in, in person. Work moves faster face-to-face. 🚀 Ship by default. Novel and polished can coexist, speed is the feature. 🤝 One band, one sound. Radical candor, zero politics, help each other win.
Our perks
🏥 Fully covered medical, dental, and vision insurance for employees.
✈️ Relocation and immigration support.
How to Apply
Send us:
A link-or 60-sec video-of something you built and why it matters.
Your resume or LinkedIn.
Two sentences on the hardest problem you've cracked.
Every exceptional candidate hears back within 48 hours.
We can't wait to see what you've got and to welcome you to the AGI Inc. team!
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A blockchain-based payment company is looking for an early ProductEngineer to help partners move money on-chain. You will work with design partners to build production-ready applications. Responsibilities include delivering customer applications, building fullstack solutions, and collaborating with cross-functional teams. The ideal candidate has strong TypeScript skills, and needs to thrive in a collaborative, high-energy environment. This role is perfect for engineers aspiring to take initiative and deliver impactful solutions.
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$88k-118k yearly est. 4d ago
AI-Driven Marketing Engineer - Build GTM Tools
Verdigris Technologies Inc.
Product engineer job in Palo Alto, CA
A leading tech company in California is seeking a Technical Marketing Lead who will own marketing systems and build automation tools. You'll create AI-native workflows and work with tools like Claude Code and Cursor. Ideal candidates will have 4-8 years of B2B marketing experience and a track record of building and deploying effective systems. This is a chance to take ownership from day one and prove yourself in a rapidly evolving environment.
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$109k-157k yearly est. 2d ago
Senior Principal Mech Engineer, R&D Equipment Lead
Fusion Energy Base
Product engineer job in Milpitas, CA
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.
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$110k-150k yearly est. 1d ago
Staff Product Engineer, Healthtech Platform Lead
Lunar 3.6
Product engineer job in San Francisco, CA
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 ProductEngineer 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.
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$123k-163k yearly est. 4d ago
Growth & Marketing Engineer
Relace
Product engineer job in San Francisco, CA
About Us
Relace is building the models and infrastructure that code agents reach for. We power the fastest model on OpenRouter (10,000 tok) and deliver optimized small language models designed for retrieval, application, and core code generation functions.
Our technology supports some of the world's fastest-moving companies - including Lovable, Figma, and Vercel - as they deploy and scale code generation to hundreds of millions of users. We recently raised our Series A from a16z, and we're growing quickly.
Our team is made up of mathematicians, physicists, and computer scientists who are deeply passionate about their craft. If you thrive on ambitious technical problems, care about elegant systems design, and want to build the foundation of how code gets written at scale, this is the place for you.
The Role
We're looking for a Head of Growth who can move fast, experiment relentlessly, and turn great ideas into measurable traction. You'll be in the trenches, shipping campaigns, testing new channels, building loops, and driving real user adoption.
As our first dedicated growth leader, you'll own our playbook across social, product, community, and performance marketing. You should be as comfortable writing a launch tweet or spinning up a landing page as you are evaluating funnel metrics and iterating on experiments.
You'll work closely with our founders, engineering, and product teams to bring Relace to the broader developer and builder ecosystem.
You'll:
Run fast, creative campaigns across X (Twitter), LinkedIn, Discord, and other channels to build awareness and convert technical audiences.
Design, launch, and iterate growth loops that turn attention into active users and advocates.
Identify new distribution channels, partnerships, and viral opportunities before they're obvious.
Own our growth stack - from analytics to landing pages to automation.
Build a culture of experimentation: rapid iteration, smart measurement, and learning fast.
Collaborate directly with engineering and research to translate technical breakthroughs into accessible, compelling narratives.
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$109k-157k yearly est. 22h ago
Field Application Engineer (US)
Point One Navigation, Inc. 3.6
Product engineer job in San Francisco, CA
About Us
Point One Navigation is building the future of precise location. Our mission is to deliver a unified location platform that enables autonomy, safety, and efficiency across industries from robotics to transportation. We are a high-performance, high-collaboration team that thrives on solving complex problems, moving fast, and delivering impact.
Role Outcome
We are looking for a Field Application Engineer (FAE) based in US to support technical adoption and success of our GNSS/GPS SaaS solutions across key accounts globally. You will play a vital role in the go-to-market process, partnering closely with Sales, Product, Customer Success, and Engineering teams around the world.
As an FAE you will provide technical advisory and expertise on full system design, have the ability to not only build technical relationships but effectively influence lead engineer and technical decisions through technical storytelling. Must be deeply interested in debugging/troubleshooting/investigating technical challenges.
Success in this role means being responsible and owning technical wins and cultivating technical champions with prospects and customers.
You'll work with prospects and customers in verticals such as autonomous vehicles, robotics, drones, industrial automation, and precision agriculture. From designing proof-of-concepts to architecture reviews to post-sales support, you'll be instrumental in helping customers succeed with our technology.
Immediate Areas of Focus Pre-Sales Technical Engagement:
Partner with the Sales team to understand customer needs and deliver technical presentations, workshops, and demos.
Design and execute proof-of-concepts (PoCs) to engage deeply with engineering teams and technical stakeholders to guide them through product evaluation and decision-making.
Solution Architecture & Design:
Lead customers through architecture reviews, deployment planning, and systems integration design involving GNSS corrections, cloud services, autonomy stacks, and embedded systems.
Recommend scalable integration strategies and help customers plan for high-precision, real-time positioning deployments.
Post-Sales Technical Enablement & Support:
Support product integration, onboarding and adoption by providing hands-on technical guidance, documentation, and training.
Act as the technical liaison between the customer and internal teams to troubleshoot issues and optimize performance.
Ensure successful long-term product usage and contribute to technical success planning for key accounts.
Global & Regional Collaboration:
Work in close coordination with global counterparts in North America, EU, APAC to ensure alignment on strategy, resources, and product support.
Serve as a bridge between customers and the global product/engineering organization, bringing localized insight to the global roadmap.
Support internal initiatives such as solution standardization, reusable assets, demo environments, and training content.
Qualifications
2+ years of customer facing engineering role
2+ years in a hardware, software and/or GNSS space
Ability to travel 25% of time
Our Cultural Foundation
At Point One, our cultural and operating design is built around one guiding principle: we must move with extreme speed and efficiency of effort to stay in a leadership position.
This environment gives people a high level of autonomy and the ability to make a real impact. It also challenges every team member to grow - both professionally and personally. Because we focus on promoting from within rather than relying on external hiring, the opportunities for advancement are tremendous for those who seek them.
That said, growth only comes from delivering in the present. What matters most is the job to be done today, not the job you want tomorrow. When we all focus on today's outcomes with excellence, the path to greater responsibility and growth naturally follows.
We think about our culture in two dimensions:
How We Show Up Every Day
These are the behaviors we expect every team member to bring to work - the foundation of being a consummate, high-output teammate:
Trust / Assume Best Intent - Trust allows us to move fast. When we start from trust, we spend no time second-guessing or looking for ulterior motives and thus focus all our energy on acting.
High Output, Action Oriented - Our default posture is “yes.” We bias toward action and deliver results quickly, knowing that speed and efficiency compound into impact as we unblock others around us.
Divine Discontent - We're never satisfied with the status quo and are self-motivated to improve ourselves, our work, and our company. We actively seek feedback in real-time to shorten improvement cycles.
No Ego, One Team - Collaboration without ego creates leverage. When we win as one team, we eliminate friction and move faster together.
Self Accountability - Taking ownership is the straightest line to learning, self-improvement, and correcting our course of action. And blaming others around us is a fast path to destroying trust.
Operating Principles
These are the systems and norms that amplify speed and efficiency at the company level:
Edge Innovation - We bias toward action over approval. Experiment, decide, and move - failure is just a step toward faster learning.
No Hierarchies - We practice self-prioritization and go direct to the source. Flattening layers reduces drag and maximizes autonomy.
Customer Experience First - We optimize for the end-to-end customer outcome, not functional or departmental efficiency. This focus cuts waste, aligns priorities, and ensures we spend effort where it matters most.
If this role sounds like a fit, we'd love to hear from you. Apply below and join us in shaping the future of precise location.
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$107k-147k yearly est. 1d ago
Staff ML Engineer - AI-Powered Observability Platform
Cisco Systems 4.8
Product engineer job in San Jose, CA
A global technology company is looking for a seasoned software engineer to enhance AI capabilities within their observability platform. Candidates should have a strong background in AI/ML systems, cloud computing, and robust technical leadership. This role is pivotal in driving innovation in data analysis and delivering scalable solutions. The ideal candidate will thrive in an agile environment and provide mentorship to junior engineers. Enjoy competitive salaries and benefits while contributing to impactful technology solutions.
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$151k-191k yearly est. 4d ago
Systems R&D Engineer, Industrial Compute
Openai 4.2
Product engineer job in San Francisco, CA
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.
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$118k-163k yearly est. 22h ago
Manufacturing Engineer
Sorcerer Corporation
Product engineer job in San Francisco, CA
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.
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$86k-120k yearly est. 22h ago
Manufacturing Engineer - Hardware NPI & Scale-Up
Specter
Product engineer job in San Francisco, CA
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.
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$86k-120k yearly est. 4d ago
CSV Manufacturing Engineer | Life Sciences & Med Device
Mentor Technical Group 4.7
Product engineer job in San Francisco, CA
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.
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$85k-111k yearly est. 4d ago
OS Intelligence ML Engineer - On-Device AI for OS
Apple Inc. 4.8
Product engineer job in Cupertino, CA
A global technology company based in California seeks a talented individual to design and develop Deep Learning architectures. This role involves creating intelligent experiences through innovative Machine Learning solutions, collaborating with various teams, and requires a strong programming background. Candidates should hold a Bachelor's degree in Computer Science or similar, with familiarity in Python, Objective C, or Swift and relevant project experience. Competitive salary and extensive benefits offered.
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$138k-174k yearly est. 3d ago
AI Product Engineer: Build Everyday AGI
AGI, Inc. 4.0
Product engineer job in San Francisco, CA
A pioneering tech startup in San Francisco is looking for a full-stack engineer to shape its core AI product. You will join a dynamic team to integrate AI companions into user workflows through fast prototyping and robust product development. The ideal candidate has 3-8 years of experience in creating LLM-powered features and a passion for user-centric design. Perks include fully covered medical insurance and relocation support. Join us in redefining human-AI collaboration!
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$90k-120k yearly est. 22h ago
Product Engineer (SF)
Tempo 4.2
Product engineer job in San Francisco, CA
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. We like to move fast and swing for the fences - join us!
The Role
We're hiring for an early ProductEngineer to help Tempo's partners move money on-chain. You'll work directly with design partners to diagnose, design, build, and deliver production-ready applications and integrations. You'll build world-class products that bring together the best in wallets, APIs, explorers, and payment systems, capable of turning any customer need into running code.
This is a deeply technical, high-ownership role for someone who thrives on autonomy, collaboration, and execution. The ideal candidate combines the mindset of a product-oriented engineer with the instincts of a customer-facing developer, working across Tempo's stack to unblock integrations, ship fixes quickly, and feed insights back into Product and Engineering. The role is ideal for customer- and product-centric engineers who aspire to be founders.
Responsibilities
Scope, architect, and deliver customer applications that meet functional, security, and reliability requirements
Build and own fullstack partner applications across frontend, backend, and on-chain components for partners on Tempo
Stand up reliable backends with services, queues, and data models; integrate partner systems and third-party SDKs; optimize for performance and cost
Prototype to validate with POCs and middleware to unblock partners quickly, and graduate successful patterns to production quality
Collaborate with Product, Partnerships, and Engineering to prioritize and land high-impact improvements surfaced from the field
Customer engagements can range from month-long embedded product builds, to week-long feature deliveries, to short-term Q&A and support work
Qualifications
Experience as a fullstack software engineer or forward deployed engineer at a blockchain, fintech, or infrastructure company. Prior experience with customer-facing roles is not required, but may be beneficial.
Deep proficiency in TypeScript is a must to build performant, delightful product experiences. The ideal candidate can take customer requirements to architect and design a solution, ship into production, and debug across frontend, backend, SDK, and onchain layers.
Nice to have Wagmi, Viem, and Foundry experience and bonus for Solidity, Go, Rust, and infrastructure experience.
Strong communication and customer empathy; able to bridge technical depth with clear, actionable guidance for non-technical audiences.
Proven ability to operate independently and make product-level tradeoffs in high-context, fast-moving environments
Attributes
High-energy, proactive, and execution-driven
Engineer by trade with a deep curiosity for how systems work end-to-end
Sharp communicator who can represent Tempo's technology with clarity and conviction
Highly autonomous, comfortable prioritizing and shipping fixes directly in the field
Collaborative and adaptable; learns fast from partners and feeds insights back into the product loop
Scrappy and hands-on; willing to dive deep to make integrations succeed
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$88k-118k yearly est. 4d ago
GNSS Field Applications Engineer - Pre-Sales & Tech Enablement
Point One Navigation, Inc. 3.6
Product engineer job in San Francisco, CA
A technology solutions provider is seeking a Field Application Engineer to support technical adoption of GNSS/GPS SaaS solutions. This role involves working with sales and product teams to deliver presentations and lead architecture reviews. The ideal candidate will have 2+ years in a customer-facing role and experience in hardware or software. A willingness to travel 25% of the time is required. Join a dynamic team and contribute to the future of precise location in various industries.
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$107k-147k yearly est. 1d ago
Manufacturing Engineer (CSV)
Mentor Technical Group 4.7
Product engineer job in San Francisco, CA
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.
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How much does a product engineer earn in Milpitas, CA?
The average product engineer in Milpitas, CA earns between $83,000 and $155,000 annually. This compares to the national average product engineer range of $68,000 to $118,000.
Average product engineer salary in Milpitas, CA
$114,000
What are the biggest employers of Product Engineers in Milpitas, CA?
The biggest employers of Product Engineers in Milpitas, CA are: