Research and development engineer jobs in Alameda, CA

Role: Kotlin Developer / Kotlin Engineer Duration: Long Term Immediate Interviews - Need Strong Tech + Strong Communication! We are looking for a high-impact Java/Kotlin engineer who can hit the ground running and deliver in a fast-paced environment. The client is moving QUICK, and we need someone with deep technical expertise + very clear, concise communication. Tech Skills Needed: ✔ Java (8+) / Spring Boot ✔ Kotlin ✔ AWS (Lambda, EC2, ECS, S3, RDS) ✔ Microservices, REST APIs ✔ Docker, Kubernetes, CI/CD ✔ System Design, Problem Solving ✔ Excellent communication

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

Mechanical Engineer (Robotics) We are partnering with a robotics company building complex electro-mechanical systems where mechanical design directly determines real-world performance. This role is for someone who doesn't just design parts, but owns motion, reliability, and scale. What You'll Do Own the end-to-end mechanical design of complex electro-mechanical systems with moving parts Design and prototype custom mechanisms and actuators under aggressive timelines Drive concepts from first prototype through high-volume production Personally design parts for volume manufacturing processes, including: Injection molding Die casting Stamping / sheet metal Extrusion Powder metal / MIM Partner closely with contract manufacturers (CMs) to ensure DFM, reliability, and cost targets are met Build systems that are not just elegant but robust, testable, and shippable at scale What We're Looking For Exceptionally strong mechanical intuition, you understand how things move, fail, and improve Proven ability to design and prototype quickly without sacrificing rigor Track record of shipping reliable, hardware products at scale Deep hands-on experience designing custom mechanisms, joints, transmissions, and actuators Experience owning mechanical architecture for complex systems with dynamic loads and tight tolerances Comfortable operating across ambiguity, tight timelines, and high expectations Required Background Currently working at a robotics company (hands-on mechanical role) Background in electro-mechanical systems with real moving parts (not CAD-only work) Experience taking designs from concept → prototype → volume production Ideal Signals Designed robotic arms, legs, mobile platforms, end-effectors, or actuation systems Personally responsible for motor selection, gearing, kinematics, or load paths Close collaboration with electrical and controls teams Bias for execution and ownership over documentation and theory

Job Title: NPI Mechanical Engineer Job Type: Full-time Work Schedule: Onsite Salary: $88000 - 120000/Yearly The Mechanical Engineer (Level 2) works with local manufacturing teams and Taiwan-based design teams to resolve mechanical issues in a timely manner and ensure smooth product development and production support. This role supports new product introduction (NPI), fixture and component design, and continuous improvements in manufacturability and assembly. This position is part of the Engineering Services team, which works across departments to support the engineering and operation teams with technical expertise in electronics, operational software, and systems integration. Responsibilities: Collaborate with cross-functional teams including R&D, manufacturing, and customer support. Analyze and resolve mechanical engineering issues, coordinating with design teams to determine root causes. Manage and guide the transition of NPI products into production, ensuring manufacturability and assembly readiness. Design and validate testing fixtures, jigs, and mechanical components to support new projects and production needs. Provide design-for-manufacturability (DFM) and design-for-assembly (DFA) feedback to improve product quality and efficiency. Review mechanical drawings and specifications for accuracy, tolerance, and compliance with company standards. Perform mechanical stress, fit, and tolerance analyses to ensure reliability and performance. Conduct failure analysis and propose corrective actions for mechanical and structural issues. Support tooling, sheet metal, and plastic component design, fabrication, and inspection. Document and update SOPs (Standard Operating Procedures), work instructions, and test plans. Support factory teams in the U.S. by bridging communication between Taiwan design teams and local production teams. Participate in cost reduction and process improvement initiatives related to mechanical design and manufacturing. Qualifications: Knowledge and experience with server, storage, and/or PC products. Familiarity with creating server assembly standard operating procedures (SOPs) for production lines. Skill in using measuring tools such as calipers and altimeters. Ability to interpret engineering drawings, including dimensional tolerances and GD&T (Geometric Dimensioning & Tolerancing). Understanding sheet metal product production and inspection; familiarity with NCT and hard tooling manufacturing is desirable. Understanding of plastic part production and inspection; familiarity with mold-up and hard tooling processes is desirable. Strong analytical problem-solving and communication skills. Proficiency in CAD tools (e.g., Creo/Pro-E) preferred. Bachelor's or Master's degree in Mechanical Engineering or equivalent. Minimum of 3 years of professional mechanical engineering experience. Ability to walk and stand on cement floors for extended periods. Ability to stoop, bend, and perform repetitive tasks. Prolonged periods of sitting and computer work. Ability to lift up to 30 pounds. About Maxonic: Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients. Interested in Applying? Please apply with your most current resume. Feel free to contact Pramod Kumar (******************** / *************** for more details.

Do you want to play a defining role in a well backed AI company building the next generation of intelligent agents? Compensation: $220k - $240k Employment Type: Full time Model: Hybrid (days on site, 3 days remote) This company is building AI agents that automate complex, manual workflows across one of the largest and most operationally complex industries in the world. What started with voice, the hardest and highest impact interface, is rapidly expanding into full end-to-end workflow automation across sales, servicing, and claims. The long term vision is to create reasoning agents capable of operating autonomously across entire enterprise systems. With over $70M raised, including a recent large Series B led by top tier venture firms, the company is entering a phase of rapid scale. Engineering is the core of the business, and technical decisions made today will define how intelligent systems operate in real production environments for years to come. The Opportunity: As a Staff Software Engineer, you will be a senior technical leader responsible for shaping foundational systems that power AI-driven products at scale. This role goes far beyond feature delivery. You will own architectural direction, influence platform strategy, and build systems that enable reliable, observable, high-performance AI agents in a regulated, mission-critical environment. You will work with an elite group of engineers, researchers, and product leaders who value strong technical judgment, clear communication, and high ownership. This is a role for someone who thrives in ambiguity, enjoys solving hard infrastructure problems, and wants to see their work have immediate, real world impact. What You Will Do: Define and drive the technical vision for core platforms and domains, including architecture, infrastructure, tooling, and performance Design, build, and operate scalable backend systems that leverage foundational LLMs and asynchronous workflows Lead architectural decisions and trade-offs, balancing speed of iteration with long-term reliability and maintainability Partner closely with product, data science, and infrastructure teams to translate business strategy into durable technical roadmaps Serve as a technical mentor through design reviews, code reviews, and hands-on guidance, raising the bar for engineering excellence Own operational excellence across the stack, including debugging complex issues, participating in on-call, and leading post-mortems Define, measure, and improve reliability metrics such as SLAs, SLOs, and SLIs Identify technical debt and drive initiatives that improve system quality, performance, and developer velocity Introduce new technologies and processes that materially improve how teams build and ship software Represent the engineering organization externally when appropriate through technical talks, open source, or partner engagement What We're Looking For: 8+ years of experience building and operating high-quality production software, with strong depth in Python Demonstrated experience architecting asynchronous, distributed, high-throughput systems in production Strong expertise with Python frameworks such as FastAPI, Django, and asyncio or equivalent Proficiency with Node.js, React, TypeScript, and Express, with sound judgment on when to use each stack Deep knowledge of SQL and experience with distributed messaging and streaming systems such as Kafka, SQS, SNS, or RabbitMQ Solid cloud experience with AWS, GCP, or Azure, including infrastructure as code, CI/CD, and observability Ability to navigate ambiguity, make principled trade-offs, and lead without formal authority Experience working in remote, asynchronous, distributed teams with strong written and verbal communication skills Curiosity and enthusiasm for emerging technologies and their real-world applications Nice to Haves: Hands-on experience working with large language models and techniques to improve reliability, latency, and cost efficiency Experience in regulated or compliance-heavy industries such as insurance, finance, or healthcare Background in high-growth startup environments where systems and teams scaled rapidly Proven track record of mentoring senior and mid-level engineers Public technical contributions through open source, talks, or publications Why This Role: Strong funding, long runway, and clear momentum toward category leadership Ownership over foundational systems that define how autonomous AI agents operate in production High autonomy and trust with direct influence on long-term technical direction A collaborative, high caliber engineering culture that values rigor, learning, and impact The opportunity to help define a new category of applied AI systems used by real customers at scale If you are excited by the chance to shape the core architecture of an AI platform operating in the real world, this role offers both the scope and the ownership to make a lasting impact.

🚀 Hiring: Software Engineer / Founding Engineer / Product Engineer 📍 San Francisco (Hybrid / In-Office) 💰 $300,000-500,000 base plus Bonus & Equity We're working with a VC-backed startup building a product at the intersection of engineering, product, and real-world impact. This is a rare opportunity to join early, influence architecture, and help shape what the company becomes. You'll work across front-end, back-end, or full-stack, depending on your strengths and interests. Titles are flexible, as this could be a Founding Engineer, Product Engineer, or Senior Software Engineer role. You'll be trusted to: Build and ship core product features end-to-end Influence technical direction and system design Work closely with founders, product, and design Help define engineering standards as the company scales Tech Stack React + TypeScript (frontend) Python or Node.js (backend) Modern cloud-native tooling What We're Looking For Experience at startup or VC-backed companies (Seed-Series B ideal) Strong fundamentals in React, TypeScript, Python and/or Node Comfort owning problems, not just tickets Product-minded engineers who care about why , not just how Why This Role Early-stage impact: your work directly shapes the product High ownership, high trust environment Strong funding, clear roadmap, ambitious founders Surrounded by sharp, driven people who move fast

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

Boulevard is the fastest-growing client experience platform, designed to empower appointment-based self-care businesses like salons, spas, and medspas nationwide. Our innovative platform combines online appointment scheduling, seamless business management, marketing, and payments to deliver personalized and reliable solutions. Developed in collaboration with industry leaders, we prioritize driving revenue, automating workflows, and enhancing customer experiences. Headquartered in Los Angeles, Boulevard is a venture-backed startup that's challenging norms to advance the intersection of beauty and technology. Join us as we help businesses provide exceptional, meaningful moments for their clients. Role Description As a Staff Analytics Engineer, you will play a key role in developing and maintaining data analysis tools and infrastructure to support Boulevard's business objectives. Your daily responsibilities will involve building and optimizing scalable data pipelines, performing data modeling tasks, supporting Extract, Transform, Load (ETL) processes, designing effective data warehouse solutions, and conducting in-depth data analytics to support decision-making. This is a full-time, on-site role located in San Ramon, CA. Qualifications Proficiency in Data Engineering and experience with building scalable data solutions. Strong knowledge of Data Modeling and implementing structured data solutions for analytical use. Hands-on experience with Extract, Transform, Load (ETL) processes and ensuring efficient data integration workflows. Expertise in developing and maintaining Data Warehousing solutions and managing large datasets. Solid understanding and application of Data Analytics to generate actionable business insights. Proficient in SQL and programming languages such as Python or Scala. Comprehensive knowledge of cloud technologies and platforms like AWS or GCP. Excellent problem-solving skills and ability to effectively communicate technical concepts to various stakeholders. A Bachelor's or higher degree in Computer Science, Engineering, Data Science, or a related field is preferred. Relevant professional experience may be considered.

James Chase Solutions is currently looking for an experienced Founding Senior Mobile Engineer- React Native for my fantastic Start Up client based in the San Francisco. You'll work in small, elite teams alongside colleagues from Product, Design, and Data to achieve the best possible outcomes for the learners and the business. Main duties - Architect & Build: Design, build, and own the mobile app experience from the ground up, creating the interface that will connect millions of users with our AI engine. Lead Mobile Development: Drive feature development end-to-end, from technical scoping and architecture through implementation and release. Build with React Native & Native Modules: Develop in React Native while integrating with native modules (Swift, Kotlin/Java) for advanced functionality and high performance. Engineer for AI & Video: Seamlessly integrate sophisticated AI-powered features and deliver a world-class video-first mobile experience. Design for Scale: Architect a robust, resilient, and highly available mobile stack capable of reliably scaling to the #1 App Store spot. Set the Standard: Mentor other engineers, influence architectural decisions, and set the bar for technical excellence. You will be a highly experienced Android Engineer with strong experience of - Experience in an early stage start up (doesn't have to be a successful company). Background in consumer social, gaming or other consumer apps Deep expertise in React Native or Swift Must be in-office 5 days/week Please note - I am not in the office and working from home on my mobile, so will get in touch ASAP if your application is successful. Should you possess the correct skills and experience for this position, we will be in touch with you within 7 days of the receipt of your CV. Should you not hear from us within this time frame, you have not been successful on this occasion. We wish you every success in your search for suitable employment.

A frontier AI company is building systems that can act in the physical world, experimenting, engineering, and executing multi-step processes with real-world constraints. Backed by major research funding and operating at the edge of physical-AI innovation, they're creating capabilities that don't exist anywhere else. Join to work from first principles, own high-impact systems end-to-end, and help define how agentic AI will operate complex workflows in the real world. Why This Role Matters Build agent systems that plan, execute, and recover across intricate engineering workflows Shape foundational behaviour patterns for next-gen LLM tool-use Join early enough to influence architecture, culture, and performance standards Work on problems that sit far beyond typical “LLM app” engineering What You'll Do Develop planners, state machines, and tool-calling flows using frameworks like LangGraph Create schemas, action definitions, and cross-tool interfaces for reliable, traceable execution Build error-handling, timeouts, retries, rollbacks, and replay mechanisms Partner with ML, infra, and systems teams to integrate agents into real engineering toolchains What You Bring Strong experience with agent systems, structured tool calling, or orchestration frameworks Deep intuition for schemas, deterministic execution, and multi-step workflow design Ability to model failure modes, edge cases, and safe interactions in complex systems Comfort working across AI, systems engineering, and specialised domain tools in a high-precision environment

Senior Software Engineer (Backend / Platform) UMATR are partnered with an early-stage technology company building an AI-driven internal platform designed to help fast-growing organisations maintain clarity, alignment, and operational efficiency as they scale. Their product acts as an intelligent internal system that understands company context, objectives, and workflows, supporting both individual contributors and leadership with real-time insight. They work closely with experienced operators and technologists from leading software organisations and are focused on solving complex problems at the intersection of data, systems, and applied AI. Their mission is to help teams scale without losing coherence, speed, or shared understanding. What You'll Do Design, build, and maintain scalable backend and platform systems Develop and operate AI-driven services that work with large and evolving datasets Take ownership of core systems in a fast-moving, early-stage environment Collaborate closely with a small team while operating autonomously Adapt quickly as product direction and technical challenges evolve What We're Looking For 3+ years of experience in backend or platform engineering Strong ability to work independently and move quickly in ambiguous environments Experience with Python, cloud infrastructure, relational databases, and API design Comfort owning systems end-to-end in production Bonus: experience with modern AI/ML systems, language-model integrations, retrieval-based systems, or agent-style architectures What We Offer Competitive salary and meaningful equity Comprehensive health benefits Meal support during in-office work Wellness and fitness reimbursement Transportation or commuting stipend Flexible paid time off A small, high-impact team with significant ownership and autonomy

Specialized Coating Services "SpecCoat" is a rapidly growing company in the Tide Rock Holdings portfolio. SpecCoat is an established leader in advanced coating solutions. Our cutting-edge technologies and commitment to quality have made us a trusted partner for businesses worldwide. Our expansive expertise caters to a broad spectrum of industries including aerospace & defense, medical device, and consumer electronics. Position Summary The Senior Conformal Coating Engineer leads the development, implementation, and optimization of conformal coating processes for electronic assemblies. This role ensures high-quality standards, compliance with IPC and MIL-STD specifications, and supports cross-functional teams in production, quality, and engineering. Key Responsibilities Lead process development and improvement initiatives for conformal coating (manual, automated, parylene, and selective coating). Define and validate coating parameters, masking techniques, and curing processes. Collaborate with design and manufacturing teams to ensure coating compatibility and performance. Troubleshoot coating-related issues and drive root cause corrective actions (RCCA). Develop and maintain process documentation, including work instructions, SOPs, and validation protocols. Ensure compliance with IPC-A-610, IPC-CC-830, J-STD-001, and customer-specific standards. Support equipment selection, installation, and maintenance (e.g., PVA, Asymtek, SCS systems). Train and mentor junior engineers and technicians in coating processes Participate in audits and customer reviews as the technical subject matter expert. Monitor process metrics and drive continuous improvement Qualifications Bachelor's degree in Chemical Engineering, Materials Science, Mechanical Engineering, or related field. 5+ years of experience in conformal coating engineering, preferably in aerospace, defense, or electronics manufacturing. Strong knowledge of coating materials (acrylic, silicone, urethane, parylene) and application methods. Experience with automated coating systems and masking strategies. Familiarity with IPC and MIL-STD standards for coating and inspection. Proficiency in CAD tools, MES systems, and statistical process control (SPC). Excellent problem-solving, communication, and project management skills. Preferred Skills Experience with conveyorized coating and vacuum deposition systems. Knowledge of environmental and safety regulations related to coating materials. Hands-on experience with coating inspection tools (UV light, thickness gauges). Certification in IPC-A-610 or IPC-J-STD-001 is a plus.

We're a fast-moving Series A startup on a mission and we're looking for a Compiler Engineer who can turn cutting-edge ideas into blazing-fast reality. If you live and breathe compilers, know your way around low-level codegen, and love squeezing every last drop of performance from hardware, this is your moment. What You'll Bring 4+ years crafting compilers, with deep mastery of algorithms and data structures Hands-on expertise in low-level code generation, object file manipulation, and target-specific optimizations Serious C/C++ chops Clear communicator, strong doc writer, detail-driven, and always team-first Bonus Points MS/PhD in CS/CE/EE Familiarity with instruction selection, register allocation, dominance, def-use, calling conventions, linking & relocations LLVM experience Loop optimization wizardry (vectorization, unrolling, fusion, parallelization) Why Us? You won't be a cog. You'll be a cornerstone. Own major pieces of the toolchain, shape architecture decisions, and ship tech that pushes the boundaries of what's possible. If you want to build boldly, optimize ruthlessly, and leave your fingerprints on the future, we want to meet you.

We are seeking an AI Scientist /Engineer to join our team in developing and supporting materials discovery and design. The ideal candidate will have strong experience building AI-based solutions for building neural network architecture, attention mechanisms, multi-modal learning, aggregating and structuring training data, statistical theory, and cloud-based compute for parallelized, scalable, and automated workflows. Key Responsibilities: Design, develop and deploy multi-modal AI, ML, and hybrid physical-based models to solve ground-breaking material physics and design problems. Aggregate, process, transform and quality-control experimental and simulation data for modeling and analysis. Design, develop, and maintain data workflows to support materials informatics initiatives. Optimize data pipelines and model execution on parallel cloud systems (e.g., Azure, GCP, AWS). Collaborate with materials scientists, chemists, and software engineers to integrate analytics and predictive modeling into core R&D workflows. Document code, workflows, and best practices to support reproducible research. Apply AI and data analytics to optimize material synthesis and processing parameters in real-time, minimizing defects, improving consistency. Build materials-informatics pipelines combining DFT/MD simulations, high-throughput experiments, and fab/metrology data to learn process-structure-property relationships for materials used in CVD/ALD/etch equipment. Develop deep learning models for forecasting thermal, mechanical, chemical, and plasma-compatibility behavior of candidate materials. Technical Skills: Strong proficiency in programming languages like Python and C++. Experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow). Knowledge of generative modeling techniques and architectures (e.g., GANs, VAEs, transformers). Knowledge of MLOps, model deployment pipelines, and CI/CD. Experience with data cleansing, preprocessing, and feature engineering Qualifications: Graduate or undergraduate degree in Computer Science, Engineering, Applied Mathematics, or a related technical field. 2-4 years of work experience (depending on educational degree) in data science, AI, machine learning, or data engineering roles. A strong foundation in the principles of materials science is essential to understand the underlying science and set up meaningful problems for AI. Expert in Python and data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow or PyTorch). Expertise in use of cloud-based compute environments and tools for parallel or distributed computing. Strong problem-solving and communication skills. Best Regards, Bismillah Arzoo (AB)

Research Engineer - San Francisco, CA A company building frontier-scale AI models that automate software engineering and AI research, combining ultra-long context, domain-specific RL, and massive compute infrastructure are looking for a Research Engineer to join their team. What Will I Be Doing: Optimize inference throughput for novel model architectures Contribute to frameworks used for our research and production workloads Train trillion-parameter models on large GPU clusters Curate post-training datasets to improve targeted capabilities Build out internet-scale data pipelines and crawlers Design, prototype and optimize new model architectures Contribute to research across long-context, inference-time compute, RL, and more What we're looking for: Strong general software engineering skills Thorough knowledge of the deep learning literature Experience with pre- and post-training of LLMs Ability to come up with and evaluate research ideas Experience working with large distributed systems Ability to handle large ETL workloads What's In It for Me: Salary of $225K-$550K dependent on experience + significant equity Great benefits inc. 401(k) with 6% company match, comprehensive health, unlimited PTO Visa sponsorship and SF relocation stipend available Well-funded ($465M+) with backing from top investors Apply now for immediate consideration!

Mechanical Engineer (Robotics) We are partnering with a robotics company building complex electro-mechanical systems where mechanical design directly determines real-world performance. This role is for someone who doesn't just design parts, but owns motion, reliability, and scale. What You'll Do Own the end-to-end mechanical design of complex electro-mechanical systems with moving parts Design and prototype custom mechanisms and actuators under aggressive timelines Drive concepts from first prototype through high-volume production Personally design parts for volume manufacturing processes, including: Injection molding Die casting Stamping / sheet metal Extrusion Powder metal / MIM Partner closely with contract manufacturers (CMs) to ensure DFM, reliability, and cost targets are met Build systems that are not just elegant but robust, testable, and shippable at scale What We're Looking For Exceptionally strong mechanical intuition, you understand how things move, fail, and improve Proven ability to design and prototype quickly without sacrificing rigor Track record of shipping reliable, hardware products at scale Deep hands-on experience designing custom mechanisms, joints, transmissions, and actuators Experience owning mechanical architecture for complex systems with dynamic loads and tight tolerances Comfortable operating across ambiguity, tight timelines, and high expectations Required Background Currently working at a robotics company (hands-on mechanical role) Background in electro-mechanical systems with real moving parts (not CAD-only work) Experience taking designs from concept → prototype → volume production Ideal Signals Designed robotic arms, legs, mobile platforms, end-effectors, or actuation systems Personally responsible for motor selection, gearing, kinematics, or load paths Close collaboration with electrical and controls teams Bias for execution and ownership over documentation and theory

🚀 Hiring: Software Engineer / Founding Engineer / Product Engineer 📍 San Francisco (Hybrid / In-Office) 💰 $300,000-500,000 base plus Bonus & Equity We're working with a VC-backed startup building a product at the intersection of engineering, product, and real-world impact. This is a rare opportunity to join early, influence architecture, and help shape what the company becomes. You'll work across front-end, back-end, or full-stack, depending on your strengths and interests. Titles are flexible, as this could be a Founding Engineer, Product Engineer, or Senior Software Engineer role. You'll be trusted to: Build and ship core product features end-to-end Influence technical direction and system design Work closely with founders, product, and design Help define engineering standards as the company scales Tech Stack React + TypeScript (frontend) Python or Node.js (backend) Modern cloud-native tooling What We're Looking For Experience at startup or VC-backed companies (Seed-Series B ideal) Strong fundamentals in React, TypeScript, Python and/or Node Comfort owning problems, not just tickets Product-minded engineers who care about why , not just how Why This Role Early-stage impact: your work directly shapes the product High ownership, high trust environment Strong funding, clear roadmap, ambitious founders Surrounded by sharp, driven people who move fast

Role: Staff Machine Learning Engineer Duration: Long-term Mode of Interview: Virtual & Final In-person Why this role exists We're building privacy‐preserving LLM capabilities that help hardware design teams reason over Verilog/SystemVerilog and RTL artifacts-code generation, refactoring, lint explanation, constraint translation, and spec‐to‐RTL assistance. We're looking for a Staff‐level engineer to technically lead a small, high‐leverage team that fine‐tunes and productizes LLMs for these workflows in a strict enterprise data‐privacy environment. You don't need to be a Verilog/RTL expert to start; curiosity, drive, and deep LLM craftsmanship matter most. Any HDL/EDA fluency is a strong plus. What you'll do (Responsibilities) • Own the technical roadmap for Verilog/RTL‐focused LLM capabilities-from model selection and adaptation to evaluation, deployment, and continuous improvement. • Lead a hands‐on team of applied scientists/engineers: set direction, unblock technically, review designs/code, and raise the bar on experimentation velocity and reliability. • Fine‐tune and customize models using state‐of‐the‐art techniques (LoRA/QLoRA, PEFT, instruction tuning, preference optimization/RLAIF) with robust HDL‐specific evals: o Compile‐/lint‐/simulate‐based pass rates, pass@k for code generation, constrained decoding to enforce syntax, and "does‐it‐synthesize” checks. • Design privacy‐first ML pipelines on AWS: o Training/customization and hosting using Amazon Bedrock (including Anthropic models) where appropriate; SageMaker (or EKS + KServe/Triton/DJL) for bespoke training needs. o Artifacts in S3 with KMS CMKs; isolated VPC subnets & PrivateLink (including Bedrock VPC endpoints), IAM least‐privilege, CloudTrail auditing, and Secrets Manager for credentials. o Enforce encryption in transit/at rest, data minimization, no public egress for customer/RTL corpora. • Stand up dependable model serving: Bedrock model invocation where it fits, and/or low‐latency self‐hosted inference (vLLM/TensorRT‐LLM), autoscaling, and canary/blue‐green rollouts. • Build an evaluation culture: automatic regression suites that run HDL compilers/simulators, measure behavioral fidelity, and detect hallucinations/constraint violations; model cards and experiment tracking (MLflow/Weights & Biases). • Partner deeply with hardware design, CAD/EDA, Security, and Legal to source/prepare datasets (anonymization, redaction, licensing), define acceptance gates, and meet compliance requirements. • Drive productization: integrate LLMs with internal developer tools (IDEs/plug‐ins, code review bots, CI), retrieval (RAG) over internal HDL repos/specs, and safe tool‐use/function‐calling. • Mentor & uplevel: coach ICs on LLM best practices, reproducible training, critical paper reading, and building secure‐by‐default systems. What you'll bring (Minimum qualifications) • 10+ years total engineering experience with 5+ years in ML/AI or large‐scale distributed systems; 3+ years working directly with transformers/LLMs. • Proven track record shipping LLM‐powered features in production and leading ambiguous, cross‐functional initiatives at Staff level. • Deep hands‐on skill with PyTorch, Hugging Face Transformers/PEFT/TRL, distributed training (DeepSpeed/FSDP), quantization‐aware fine‐tuning (LoRA/QLoRA), and constrained/grammar‐guided decoding. • AWS expertise to design and defend secure enterprise deployments, including: o Amazon Bedrock (model selection, Anthropic model usage, model customization, Guardrails, Knowledge Bases, Bedrock runtime APIs, VPC endpoints) o SageMaker (Training, Inference, Pipelines), S3, EC2/EKS/ECR, VPC/Subnets/Security Groups, IAM, KMS, PrivateLink, CloudWatch/CloudTrail, Step Functions, Batch, Secrets Manager. • Strong software engineering fundamentals: testing, CI/CD, observability, performance tuning; Python a must (bonus for Go/Java/C++). • Demonstrated ability to set technical vision and influence across teams; excellent written and verbal communication for execs and engineers. Nice to have (Preferred qualifications) • Familiarity with Verilog/SystemVerilog/RTL workflows: lint, synthesis, timing closure, simulation, formal, test benches, and EDA tools (Synopsys/Cadence/Mentor). • Experience integrating static analysis/AST‐aware tokenization for code models or grammar‐constrained decoding. • RAG at scale over code/specs (vector stores, chunking strategies), tool‐use/function‐calling for code transformation. • Inference optimization: TensorRT‐LLM, KV‐cache optimization, speculative decoding; throughput/latency trade‐offs at batch and token levels. • Model governance/safety in the enterprise: model cards, red‐teaming, secure eval data handling; exposure to SOC2/ISO 27001/NIST frameworks. • Data anonymization, DLP scanning, and code de‐identification to protect IP. What success looks like 90 days • Baseline an HDL‐aware eval harness that compiles/simulates; establish secure AWS training & serving environments (VPC‐only, KMS‐backed, no public egress). • Ship an initial fine‐tuned/customized model with measurable gains vs. base (e.g., +X% compile‐pass rate, −Y% lint findings per K LOC generated). 180 days • Expand customization/training coverage (Bedrock for managed FMs including Anthropic; SageMaker/EKS for bespoke/open models). • Add constrained decoding + retrieval over internal design specs; productionize inference with SLOs (p95 latency, availability) and audited rollout to pilot hardware teams. 12 months • Demonstrably reduce review/iteration cycles for RTL tasks with clear metrics (defect reduction, time‐to‐lint‐clean, % auto‐fix suggestions accepted), and a stable MLOps path for continuous improvement. How we work (Security & privacy by design) • Customer and internal design data remain within private AWS VPCs; access via IAM roles and audited by CloudTrail; all artifacts encrypted with KMS. • No public internet calls for sensitive workloads; Bedrock access via VPC interface endpoints/PrivateLink with endpoint policies; SageMaker and/or EKS run in private subnets. • Data pipelines enforce minimization, tagging, retention windows, and reproducibility; DLP scanning and redaction are first‐class steps. • We produce model cards, data lineage, and evaluation artifacts for every release. Tech you'll touch • Modeling: PyTorch, HF Transformers/PEFT/TRL, DeepSpeed/FSDP, vLLM, TensorRT‐LLM • AWS & MLOps: Amazon Bedrock (Anthropic and other FMs, Guardrails, Knowledge Bases, Runtime APIs), SageMaker (Training/Inference/Pipelines), MLflow/W&B, ECR, EKS/KServe/Triton, Step Functions • Platform/Security: S3 + KMS, IAM, VPC/PrivateLink (incl. Bedrock), CloudWatch/CloudTrail, Secrets Manager • Tooling (nice to have): HDL toolchains for compile/simulate/lint, vector stores (pgvector/OpenSearch), GitHub/GitLab CI

Senior Software Engineer (Backend / Platform) UMATR are partnered with an early-stage technology company building an AI-driven internal platform designed to help fast-growing organisations maintain clarity, alignment, and operational efficiency as they scale. Their product acts as an intelligent internal system that understands company context, objectives, and workflows, supporting both individual contributors and leadership with real-time insight. They work closely with experienced operators and technologists from leading software organisations and are focused on solving complex problems at the intersection of data, systems, and applied AI. Their mission is to help teams scale without losing coherence, speed, or shared understanding. What You'll Do Design, build, and maintain scalable backend and platform systems Develop and operate AI-driven services that work with large and evolving datasets Take ownership of core systems in a fast-moving, early-stage environment Collaborate closely with a small team while operating autonomously Adapt quickly as product direction and technical challenges evolve What We're Looking For 3+ years of experience in backend or platform engineering Strong ability to work independently and move quickly in ambiguous environments Experience with Python, cloud infrastructure, relational databases, and API design Comfort owning systems end-to-end in production Bonus: experience with modern AI/ML systems, language-model integrations, retrieval-based systems, or agent-style architectures What We Offer Competitive salary and meaningful equity Comprehensive health benefits Meal support during in-office work Wellness and fitness reimbursement Transportation or commuting stipend Flexible paid time off A small, high-impact team with significant ownership and autonomy