Senior electrical engineer jobs in Walnut Creek, CA

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

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.

Core Responsibilities Execute comprehensive Hardware Validation testing for new silicon, focusing specifically on Battery Chain ICs and Power Management ICs (PMICs). Develop, set up, and perform validation test plans for performance, reliability, and functional verification of power-related hardware. Analyze test results, identify hardware defects, debug issues at the component and system level, and collaborate with design engineers to propose and verify fixes. Set up and expertly operate standard EE lab equipment, including oscilloscopes, digital multimeters, electronic loads (Battery Load management), and data logging equipment. Conduct testing under various environmental conditions, requiring experience with and operation of temperature chambers. Document validation procedures, test results, and bug reports clearly and meticulously. Contribute to the continuous improvement of validation methodologies and test coverage. Required Skills & Experience 3-4 years of professional experience in Electrical Engineering, specifically in hardware validation or characterization. Solid foundation in Electrical Engineering (EE) principles and analog/digital circuit theory. Proven experience in validating Battery Chain ICs (e.g., fuel gauge, charging circuits) and Power Management ICs (PMICs). Hands-on expertise in using and interpreting measurements from essential lab equipment: Oscilloscope (High-speed signal capture and analysis) Multimeter (Precision voltage, current, and resistance measurement) Electronic Loads / Battery Load Management systems Data Logging equipment for extended test monitoring. Experience with temperature chamber operation and performing tests across a wide range of temperatures. Strong analytical, problem-solving, and debugging skills. Excellent written and verbal communication skills for cross-functional collaboration.

The WW BPR PLM team serves as a support entity for the business process, product data management, and PLM system and integration across Operations for all of Apple's Line of Businesses (LOBs). The team collaborates across multiple business stakeholders to develop, maintain and execute a Next Generation PLM roadmap with high benefit to Apple overall. This position requires global coordination of eOorts across all regions. The team's key responsibilities include: - Managing complex large scale projects involving several corporate and regional resources across 3 continents. - Aligning World Wide and Regional teams to our Next Generation PLM program. The Worldwide Business Process Re-engineering (BPR) team is seeking an experienced supply chain professional to lead Product Lifecycle anagement (PLM) focused initiatives. This position will be managing and driving large scale global cross functional initiatives to enable new PLM & Supply chain capabilities, drive process optimization, increase scale & efficiency, and minimize cost. You will work to identify and resolve key issues in a dynamic and ambiguous environment, facing exciting challenges daily. This position would also play a critical role in the global rollout of Apple's next generation Product Lifecycle Management (PLM) and integrated Supply Chain. Prior hands-on PLM and manufacturing/supply chain in the electronics industry within with a leading global consumer electronics company is required. Minimum Qualifications * Bachelor's degree in Industrial Engineering, or related field (Manufacturing, Mechanical, Electrical, etc.) * 5-7+ years of experience of leading global supply chain initiatives improving processes in the electronics industry - design, sourcing, manufacturing, logistics, fulfillment, after-sale service * Deep PLM and Operations / Supply Chain process experience and be self-directed, motivated, and comfortable working in an extremely fast-paced environment * Technical proficiency in PLM enterprise software, integration technologies, and data platforms * Extensive experience in global supply chain management specific to New Product Introduction (NPI) at a global scale * Comprehensive knowledge of how PLM data is used across enterprise, manufacturing, and supply chain processes. Ability to identify uses cases where improved data will bring significant benefit to teams, mobilize POC's, and scale rapid solutions. * Hands on experience working with PLM data across the enterprise translating how data enables business processes and recommend process eOiciency improvements resulting from data processing improvements and realize the benefit * Strong analytical, project management and leadership skills to handle a variety of activities and complexities spanning the organization and be willing to work at both a very detailed and strategic level * The ability to facilitate global projects and to align business and technical teams * Exceptional communication skills, verbal, written and presentation to easily communicate complex technical concepts to executive leadership * Solid ability to personally deliver large scale global initiatives under pressure, with high levels of complexity and ambiguity. Identify build strong business cases for the Data Foundation use cases. Assist in the mobilization of POC's and projects to mobilize the use cases. Preferred Qualifications * Master Degree in Industrial Engineering, or related field (Manufacturing, Mechanical, Electrical, etc.) * Ability to operate independently with conviction and drive teams to the right levels of quality in delivery even under pressure. * Handle ambiguity in problem definition, have a good handle on business value and have the initiative to craft problems and projects so that they deliver maximum impact.

Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Here are the job details Position: Electrical Engineer Location: Fermont, CA (Onsite Work) Duration: 12+ Months Rate: $95/hr W2 EE System Design Position Experience: • Large scale system level design experience involving different subcomponents. • Cable and cable harness design • PCB design & layout experience preferred • RS232, Ethernet, Ethercat bus experience preferred • 208/408VAC, breakers, contactors and distribution box design preferred • Safety Certification, S22 preferred • 24VDC digital IO preferred • SAP/Product-Lifecycle-Management online documentation system Job Description: • Design and modify IO and power cables and PCBs. • Find component replacements and test obsolete/End of life components • Drive solutions to field problem reports. • Conduct design reviews when necessary • Check electrical drawings and schematics before production release • Work with mechanical and software engineers to solve field and/or new design problems • BOM (Bill of Material) structuring for new/updated parts • Online documentation in a Product-Lifecycle-Management system Requirements: • Min: BS in Electrical/Electronic Engineering • Must be motivated; job requires a “Sherlock Holmes attitude” to find the correct resource/tool owner or technical expert. • Must be self-directed/independent as well as able to work in a team • Good communication and presentation skills • Strong computer proficiency • Ability to handle multiple tasks and manage priorities • Schematic capture CAD experience; OrCAD preferred • BOM management software experience • Proficient in MS office products required. Note: This is not an embedded systems job. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

Domain: Embedded Hardware, PCB Design, FPGA, High-Speed Systems, EMI/EMC Experience: 10+ years San Jose, CA Based - Lead end-to-end hardware development for FPGA/SoC-based systems, including architecture, schematic design, PCB review, board bring-up, debugging, compliance testing, and cross-functional collaboration. Key Responsibilities: Hardware Design: Architecture, schematic capture, PCB review, documentation System Integration: High-speed board bring-up, signal/power integrity troubleshooting Testing & Compliance: DVT/PVT, EMI/EMC design, certification coordination Vendor Interface: PCB fabrication, assembly, procurement Sustenance: RMA debugging, redesign for compliance Collaboration: Work with firmware, mechanical, and test teams Technical Skills: Tools: Allegro, Altium, Interfaces: USB, BLE, SPI, I2C, Ethernet, CAN, PCIe Lab Expertise: Oscilloscopes, Logic Analyzers, Signal Generators Qualifications: Bachelor's in Electronics/Communication (or related), strong debugging and documentation skills

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

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.

We are looking for a junior, motivated and talented problem solver. The ideal candidate will be responsible for testing and assembling electrical and mechanical components into devices. They will also help design and manufacture our product, organize the lab and work with suppliers as needed. They should be able to make quality assurance checks in order to keep the product standard high. Responsibilities Evaluate electrical products and systems by designing testing methods Organize lab Test finished products and system capabilities Keep necessary equipment operational Contribute to team efforts by accomplishing related results Qualifications Bachelor's degree in Electrical Engineering or related field Have knowledge of sensors, mechanical parts and electronic boards Can solder electrical components on PCB Strong problem solving, technical, math and science skills Strong written and verbal communication

A leading IP recruiting firm in San Francisco is seeking an experienced patent attorney with expertise in patent preparation and prosecution in the electrical arts. Candidates should ideally have a BS degree in electrical engineering, excellent communication skills, and the ability to manage a large docket effectively. This role offers a unique opportunity to work with clients from various industries and advance your career in intellectual property. #J-18808-Ljbffr

Greetings: Hi, this is Mounika with Flexton, I have an amazing opportunity with one of our best clients in the Bay Area! Please have a look at JD below and drop your resume to *********************** or ************** if interested in applying!! *****Only W2***** Role: Electrical Engineering Technologist (Fabrication Tech.) Location: Berkeley, CA Type: 3-6 months contract (with high chances of extension or conversion of FTE) DUTIES/RESPONSIBILITIES: As a skilled specialist, using considerable judgement and initiative, fabricate and/or install complex electronics hardware including chassis, instruments, printed circuit boards, cables, wiring harnesses, equipment racks and consoles, and control and instrumentation cross-connect / inter-connect cabling systems. Understand implications of tasks and makes recommendations to achieve goals. Operate a large variety of hand, power, and machine tools of the trade. Read and interpret schematics, sketches, parts lists, and component layout diagrams. Follow generalized written or verbal instructions. Select appropriate components, packaging enclosures and manufacturing techniques and procedures. Implement appropriate codes and standards associated with the trade. Interact with engineers, designers and electronics coordinators on matters relating to finished product design, technical performance and documentation criteria. Provide input to cost estimates and production/installation scheduling. POSITION QUALIFICATIONS: Substantial technical understanding of electronics fabrication and installation techniques, procedures, codes and quality standards. Substantial work experience in fabricating and installing the full spectrum of general electronics hardware and systems. Ability to successfully accomplish assignments under only general guidance and limited supervision. Knowledge of and ability to use appropriate hand power and machine tools of the trade. Ability to perform design layouts requiring general measurements and calculations. Ability to read and correctly interpret schematics, sketches, parts lists, and component layout diagrams. Color vision sufficient to discern wiring and component color codes, and safety related colored signs, lamps and warning devices. Ability to climb stairs and ladders, work from heights and confined spaces, and lift 23 kg (50 lbs.). Thanks Mounika Ravi Sr. Technical Recruiter Cell | ************** Email: ***********************

As an Engineering Technician, you'll assemble and maintain test systems, support vehicle engineering tests, and collaborate with engineers and technicians to ensure high-quality results. Responsibilities Wiring, low voltage (12v) Maintain and troubleshoot test equipment to minimize downtime. Assemble mechanical structures and prototype wiring per documentation. Perform light fabrication using machining, shop, and hand tools. Document faults, maintenance, and upgrades. Support vehicle tests such as powertrain durability, endurance, transmission abuse, and environmental systems. Transport vehicles and equipment; assist with test prep and driving on tracks and public roads. Communicate issues and provide feedback on equipment and test performance. Maintain a clean, safe workspace and follow safety regulations. Minimum Qualifications 3+ years of hands-on technical/wiring experience. Strong mechanical assembly and troubleshooting skills. Ability to lift 45 lbs and use hand tools. Excellent communication and organizational skills. Preferred Qualifications Experience with electrical harnesses and cable connections. Familiarity with hazardous material handling. Knowledge of CAN/LIN protocols. Experience with Jira, SharePoint, and Confluence. Background in vehicle systems-especially electric vehicles-or robotics. Experience with Advanced Driver Assistance Systems (ADAS) and thermal systems. Rate: $35-$40/hr

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

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.

Project Description Sr. Java Engineer for the Application Platform team developing core enterprise microservices using Java and Spring Boot. Databases like Oracle, Cassandra and messaging systems like Kafka are used for developing these microservices. Duties/Day to Day Overview Analyzes, designs, programs, debugs, and modifies software enhancements and/or new products used in local, networked or Internet-related computer programs. Using current programming language and technologies, writes code, completes programming, and performs testing and debugging of applications. Completes documentation and procedures for installation and maintenance. Specific Responsibilities • Gathers and verifies technical requirements • Authors and audits technical design for features • Competent in programming and debugging across multiple modules and dealing with related external dependencies • Writes high quality code with full test coverage • Reviews code to ensure it is functionally correct and is of high quality • Provides story or business requirements breakdown planning and estimation, reviews and evaluates the team's estimates • Accountable for complex stories or business requirements • Identifies feature and module dependencies • Proposes mitigation plans for identified risks and problems • Suggests process improvements and best practices • Identifies new areas that could be measured • Able to identify, evaluate and discuss alternative technologies and techniques • Justifies decisions and achieves peer consent • Interacts with team members, other IT teams, business users, individual contributors, managers • Sphere of influence is small group of peers • Actively shares knowledge within domain • Able to share knowledge outside domain • Mentors co-workers within area of expertise, improves other's productivity • Provides guidance for the work performed by contractors • Assesses the quality of work and effectiveness of contract resources • Participates in development of contractor agreements, including deliverables and SLAs Top Requirements (Must haves) 8+ years of professional software engineering experience, with 5+ years focused on Java/Spring Boot backend services. Strong core Java coding skills & ability to articulate coding problem-solving approach Expert in multithreading, memory management, collections, Microservices design, production-level troubleshooting & database fundamentals. Deep experience designing microservices (service boundaries, API design, idempotency, retries, circuit breaking). Hands-on with Oracle (SQL tuning, indexing, stored procedures) and Cassandra (data modeling, consistency levels) are strongly preferred, candidates with no SQL experience with other databases will still be considered Production experience with Kafka (consumer groups, partitioning, offset management, schema evolution) is strongly preferred, candidates with similar system experience will still be considered Strong grasp of testing: unit/integration/contract tests; test data management. Solid knowledge of RESTful APIs, pagination, error handling, and versioning. Experience with CI/CD (e.g., Jenkins/GitHub Actions) and Git workflows. Proficiency in observability (e.g., logs/metrics/traces) and performance optimization for JVM-based services. Ability to lead technical initiatives, review designs, and drive outcomes in a fast-paced 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

Must have skills High-speed digital board design 25G+ SerDes Microprocessor-based reference design High-speed optics (10-25G+) FPGA / PCIe / Retimers / PHY components Hardware debugging (oscilloscope, analyzer, VNA) ======= High-Speed Hardware Design Engineer We are seeking a skilled High-Speed Hardware Design Engineer to lead the development of cutting-edge digital boards and systems. The ideal candidate will have hands-on experience with high-speed interfaces, optics, and advanced debugging tools. Key Responsibilities: Design and develop high-speed digital boards from concept to production. Work with 25G+ SerDes, high-speed optics (10-25G+), and microprocessor-based reference designs. Integrate and validate high-speed components including FPGAs, PHYs, Retimers, PCIe switches, and POLs. Perform hardware bring-up, signal integrity validation, and root-cause analysis using oscilloscopes, VNAs, and logic analyzers. Collaborate with cross-functional teams to ensure robust system performance. Develop and maintain automation scripts using Perl, Python, or similar languages. Preferred Qualifications: Proven experience in high-speed board design and debugging. Strong understanding of networking hardware and terminology. Proficiency in lab instrumentation and test setup.

We are looking for a junior, motivated and talented problem solver. The ideal candidate will be responsible for testing and assembling electrical and mechanical components into devices. They will also help design and manufacture our product, organize the lab and work with suppliers as needed. They should be able to make quality assurance checks in order to keep the product standard high. Responsibilities Evaluate electrical products and systems by designing testing methods Organize lab Test finished products and system capabilities Keep necessary equipment operational Contribute to team efforts by accomplishing related results Qualifications Bachelor's degree in Electrical Engineering or related field Have knowledge of sensors, mechanical parts and electronic boards Can solder electrical components on PCB Strong problem solving, technical, math and science skills Strong written and verbal communication

Role: Electrical Engineering Technologist/ Electrical Technician/ Fabrication Technician Type: 3-6 months contract (with high chances of extension or conversion of FTE) While assigned to the Advanced Light Source, perform complex technical support in the field of electronics fabrication and installation in an accelerator environment. Determine methods and procedures on layouts, fabrication and installation of a broad variety of custom electronics hardware, including chassis fabrication, wiring, cabling, printed circuit board loading and equipment installation. Perform measurements and calculations necessary to achieve desired results. DUTIES/RESPONSIBILITIES: As a skilled specialist, using considerable judgement and initiative, fabricate and/or install complex electronics hardware including chassis, instruments, printed circuit boards, cables, wiring harnesses, equipment racks and consoles, and control and instrumentation cross-connect / inter-connect cabling systems. Understand implications of tasks and makes recommendations to achieve goals. Exp in hand-hold power tools is a huge plus. Electrical safety experience Operate a large variety of hand, power, and machine tools of the trade. Read and interpret schematics, sketches, parts lists, and component layout diagrams. Follow generalized written or verbal instructions. Select appropriate components, packaging enclosures and manufacturing techniques and procedures. Implement appropriate codes and standards associated with the trade. Interact with engineers, designers and electronics coordinators on matters relating to finished product design, technical performance and documentation criteria. Provide input to cost estimates and production/installation scheduling. POSITION QUALIFICATIONS: Substantial technical understanding of electronics fabrication and installation techniques, procedures, codes and quality standards. Substantial work experience in fabricating and installing the full spectrum of general electronics hardware and systems.