Principal engineer jobs in Oakland, CA

🌎 San Francisco (Hybrid) 💼 Founding/Staff Design Engineer 💵 $200-300k base Our client is an applied AI research lab combining world-class AI expertise-including alumni from Google DeepMind-with exceptional product execution to bring AGI-powered tools to finance. As a Design Engineer, you will own how users experience complex AI systems, defining both the UX and the implementation in modern frontend technologies. You'll be the bridge between cutting-edge research and highly polished, intuitive interfaces that financial professionals can trust. What you'll do: Own the end-to-end user experience for core products, from early prototypes to polished, production-ready interfaces. Build high-quality, interactive frontends using React, TypeScript, and Tailwind, making complex AI systems feel intuitive and trustworthy. Collaborate closely with researchers, PMs, and engineers to translate novel AI capabilities into clear and actionable workflows for users. Define and maintain the design system and component library, ensuring consistency, performance, and visual quality across all products. Run rapid experiments, gather user feedback, and iterate quickly, shaping product decisions with real-world data and insights. Make strategic technical choices-refactoring or redesigning frontend architectures when it improves quality, speed, or maintainability. Ideal candidate: Have built high-performance, polished web applications end-to-end, ideally in complex or data-heavy domains. Are an expert in modern frontend technologies (TypeScript, React, Tailwind, Next.js) and can translate high-level product concepts into production-ready interfaces. Can make non-trivial backend changes (Node.js or Python) and implement small services when needed to support product features end-to-end. Are skilled in at least one statically typed language, care deeply about type safety across UI and APIs, and make technology choices with an eye toward maintainability and long-term quality. Have deployed frontends or supporting services using Docker and Kubernetes on a major cloud provider-or can learn quickly. Use AI to accelerate your work-generating code, copy, or design variants-but critically review outputs to maintain UX quality and correctness. Thrive in high-performing, cross-disciplinary teams, enjoying collaboration with designers, researchers, and engineers. Love technically challenging problems at the intersection of interaction design, performance, and complex AI behavior. Nice to have: Experience designing for professional or enterprise users (traders, analysts, operators). Experience with data visualization or building rich, real-time interfaces. Previous early-stage startup experience or experience as one of the first design/UX hires. Compensation & setup: Competitive salary + meaningful equity upside Hybrid, primarily in-office in San Francisco, working closely with founders and research team High-ownership role with direct impact on product, design, and AI-powered workflows

Senior Data Centre Field Engineer - Bay Area (Frequent International Travel) | 12-Month Contract | 1099 or C2C Our client, a leading technology consultancy specialising in large-scale infrastructure deployments, is seeking an experienced Senior Data Centre Field Engineer to join their team on a 12-month contract. This position is based in the Bay Area and involves frequent international travel to client sites. This role will suit a highly skilled and self-driven field engineer with deep experience in data centre infrastructure, structured cabling, and enterprise network deployments. You will lead complex field projects, mentor junior engineers, and ensure that every installation meets the highest technical and quality standards. Role Overview As a Senior Data Centre Field Engineer, you will: Lead infrastructure deployment projects across data centre, enterprise, and retail environments, ensuring all deliverables are completed to scope, on time, and to a high standard. Pull, terminate, and test Cat6/6a and fibre structured cabling systems. Rack, stack, and configure network equipment; decommission legacy devices and patch cables as required. Deploy fully built racks into data centres and enterprise spaces, completing cross-connects and final cabling. Install and test Wireless Access Points, ensuring high-quality terminations and documentation. Partner with internal teams or local field engineers on complex, multi-site deployments. Mentor and support less experienced colleagues, sharing best practices and technical knowledge. Serve as a trusted on-site advisor, maintaining both client and internal standards throughout all project phases. Provide as-built and redline documentation updates to ensure engineering records remain current and accurate. Conduct post-project reviews, sharing lessons learned to continually improve delivery quality. Review project scopes, BOMs, and schedules using internal tools, identifying and escalating potential issues early. Stay current with emerging network technologies - routing, switching, Wi-Fi, firewalls, compute, storage, AV, power, and cabling. Represent the consultancy with professionalism, identifying potential business opportunities and maintaining strong client relationships. Required Skills & Experience 5+ years' experience delivering complex data centre or enterprise infrastructure projects for large customers (preferably via a VAR or systems integrator). Proven expertise in structured cabling, including fibre and copper installation, testing, and certification. Hands-on experience using tools such as Fluke testers, OTDRs, network analysers, and wire mapping tools. Ability to read and interpret MOPs, cable run lists, patch plans, and schematics. Strong troubleshooting and fault-finding skills within high-pressure, mission-critical environments. Proficiency with Unix/Linux CLI, network configuration, firmware installation, and device provisioning. Experience analysing wireless survey reports (e.g., Ekahau, Airmagnet, Hamina) and advising on signal remediation. Excellent customer-facing, communication, and documentation skills. Self-starter with strong organisational discipline and the ability to manage multiple concurrent projects. Certifications & Education Cabling certifications (e.g., CNCI, BTEC, City & Guilds, BICSI) desirable. CCNA or CWNA certification (or equivalent demonstrable knowledge) preferred. Contract Details Location: Bay Area, CA (frequent international travel required) Contract Type: 12-Month Contract (1099 or C2C) Client Type: Technology Consultancy Start Date: ASAP Compensation: Competitive day rate, based on experience If you are an experienced Senior Data Centre Field Engineer who thrives in hands-on environments and enjoys leading complex deployments, this is an excellent opportunity to join a forward-thinking consultancy working with some of the most respected clients in the industry.

Machine Learning Research Engineer - Video Intelligence - Up to $250k A Series A Funded start-up who already have millions in recurring revenue are building next-generation AI infrastructure for video intelligence are looking for an Applied Research Engineer to join their team. What You'll Be Doing Build high-performance video understanding systems and large-scale processing pipelines Tackle ambiguous research problems with creative technical solutions Optimize model performance through clever pre/post-processing, parallelism, and inference optimization Work directly with customers and external teams to deliver end-to-end video intelligence products Collaborate with leading AI video labs on cutting-edge applications What We're Looking For 3+ years experience in computer vision or audio processing Strong Python skills with PyTorch or similar ML frameworks Excellent communication abilities, especially customer-facing Clean, maintainable coding practices Product-minded approach - you want to build complete solutions, not just train models Early startup experience is a plus What's In It For You: Competitive salary up to $250k Small, high-impact team with significant growth trajectory Opportunity to work with top AI video labs and collect world-class datasets Apply now for immediate consideration!

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.

Salary: upto $400k cash + Equity & Bonus Reports to: CEO Team: Robotics & Systems Engineering As Head of Physical Systems & Robotics, you will own the vision and execution for physical infrastructure, from robotic hardware and manipulation systems to controls, perception, and high-throughput experimental platforms. You will lead multi-disciplinary teams to deliver physically capable, autonomous systems that integrate closely with AI and simulation teams. Key Responsibilities Technical Vision & Strategy: Define and drive the roadmap for robotics, automation, and physical system platforms. Team Leadership & Growth: Build and lead teams across robotics, controls, perception, systems integration, and hardware engineering. System Architecture: Establish robust hardware/software architectures for complex physical systems. Integration & Collaboration: Work with AI, simulation, and software teams to ensure seamless integration between algorithms and physical execution. Operational Excellence: Implement best practices for reliability, maintainability, safety, and scalability of robotic platforms. Hands-On Innovation: Balance leadership with technical involvement in prototypes, design reviews, hardware selection, and validation. Risk & Safety: Set standards for safety, testing protocols, fault tolerance, and regulatory compliance. Qualifications MS/PhD in Robotics, Mechanical Engineering, Electrical Engineering, or related fields. 10+ years of engineering leadership in building and scaling complex robotic or automated systems. Experience owning end-to-end physical systems, including motion planning, controls, perception integration, and hardware/software co-design. Strong track record of cross-disciplinary collaboration with AI researchers and software engineers. Excellent communicator and leader capable of motivating and aligning engineering teams. Bonus Points Experience with high-throughput or autonomous experimental platforms. Prior work with digital twin or simulator environments tied to physical hardware.

🚀 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

Job Title: BIOS Firmware Engineer Job Type: Fulltime Work Schedule: Onsite Salary: 120000 - 150000/Yearly The BIOS/UEFI Firmware Engineer is responsible for the architecture, design, development, and debugging of UEFI (Unified Extensible Firmware Interface) and BIOS (Basic Input/Output System) firmware for computer systems. This role focuses exclusively on the firmware that initializes hardware and boots the operating system, ensuring compatibility, security, and performance from power-on. It emphasizes not only hands-on technical expertise but also leadership in guiding projects and supporting team members. 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: Design, develop, and maintain UEFI/BIOS firmware using C and C++. Contribute to all phases of the UEFI boot process, including Security (SEC), Pre-EFI Initialization (PEI), and Driver Execution Environment (DXE). Lead effort in hardware bring-up for new platforms, debugging complex hardware-firmware interactions across CPU, memory, and peripheral devices. Ensure correct initialization of key system hardware such as DDR memory, PCIe, SATA, USB, and other interfaces. Optimize boot performance and implement firmware security measures such as Secure Boot, Intel Boot Guard, and Trusted Platform Module (TPM) integration. Collaborate with hardware engineers to interpret schematics and datasheets and ensure accurate hardware configuration. Use debugging tools (e.g., JTAG, in-circuit emulators, logic analyzers) for troubleshooting. Participate in and provide leadership during code reviews, write technical documentation, and mentor junior engineers. Work cross-functionally with hardware, operating system, and security teams to ensure system compatibility and reliability. Qualifications: Strong proficiency in C/C++ programming for embedded systems. In-depth knowledge of UEFI architecture (EDK2 framework), x86 architecture, and system boot processes. Solid understanding of hardware interfaces such as PCIe, SPI, I2C, and USB. Strong analytical and problem-solving skills. Excellent communication and collaboration skills, with demonstrated ability to work independently. Proven leadership skills, including mentoring, guiding projects, or leading initiatives. Experience with scripting languages such as Python for automation. Knowledge of firmware security standards (e.g., NIST SP 800-193, Secure Boot). Experience with low-level debugging of boot-related issues. Understanding of System Management Mode (SMM), Advanced Configuration and Power Interface (ACPI), Intel Firmware Support Package (FSP), or Intel Firmware Image (IFWI). Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or related field. Minimum of 2+ years of BIOS/UEFI firmware development experience with demonstrated leadership responsibilities. Prolonged periods of sitting at a desk and working on a computer. Ability to access and navigate various departments within the organization's facilities. 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 Jhankar Chanda (******************* / ************* for more details

Senior Full Stack Engineer (AI) - Onsite NYC or San Francisco I'm working with a fast-scaling enterprise AI company that's just made a major acquisition and is building the next generation of AI-driven contract intelligence software. This is an opportunity to join a small, elite engineering team at a pivotal moment and work directly with founding-level leaders on genuinely best-in-class AI agent technology used by some of the largest enterprises in the world. Why this role stands out Early engineer in a newly integrated, high-impact team Real ownership and influence over product and technical direction Building AI agents that sit at the core of enterprise systems Solving complex problems in a fast-moving, startup-style environment What they're looking for 5-10 years full stack experience (Python, JavaScript, React) Hands-on experience building AI products (4+ years ideal) Strong backend foundations: SQL, Postgres, databases, CI/CD Experience with agent frameworks (LangGraph, CrewAI, AutoGen) Comfortable using AI coding tools daily (Cursor, Codex) Startup background (Series A-B preferred) Logistics Onsite 5 days/week New York or San Francisco If you're excited by high-ownership engineering roles at the intersection of AI, enterprise software, and scale, please apply!

About You: You have several years of experience with full-stack web development. Our application is built with Next.js/TypeScript/Tailwind on the frontend, Python/FastAPI/Postgres/Redis on the backend. You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You can talk directly with customers, analyze usage data, and iterate based on feedback. You can make sound product decisions on your own. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot! About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.

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.

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

Hi, Hope you are doing good! We have a Contract-W2 opportunity for you as Senior Cloud Engineer @ San Francisco, CA (Hybrid - 3 days a week) Role: Senior Cloud Engineer Type of Hiring: Contract-W2 Job Description: Cloud Engineer Core Competencies: Core AWS Cloud Engineer with experience in DevOps skills, Agile skills, ability to operate platforms at scale, has done automation, with a focus on maturing the cloud platform. AWS IAM identity-based and resource-based policies AWS Networking (route tables, transit gateways, security group rules, VPC, subnets, R53 etc.) AWS CloudWatch and CloudTrail x troubleshooting issues AWS glue AWS Redshift RDS MSSQL Splunk Experience with CI/CD pipelines for infrastructure deployments. Experience with Harness would be a plus, but experience with other CI/CD tools (ArgoCD, CircleCI, Git Hub Actions, Jenkins, etc.) is acceptable. Terraform Experience with Centralized secrets store (AWS Secrets Manager). Git management best practices EKS and k8s cluster management SSO via Okta and role-based access control Experience with Agile project management (scrum and kanban) concepts: sprints, sprint planning, backlog grooming, story points, ticket life cycle and management.

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Please visit Fractal | Intelligence for Imagination for more information about Fractal. Job Title: Lead Data Engineer - Databricks & Azure (SQL Migration) Location: Hybrid @ Palo Alto Compensation: $140,000 - $175,000 per year Role Overview: We are seeking a skilled Lead Data Engineer to support the migration of on-premise SQL Server databases to the Azure Databricks Lakehouse Platform. This role involves designing and implementing parameter-driven ETL frameworks, migrating SQL stored procedures, views, and business logic to Databricks Unity Catalog stored procedures, and supporting data governance strategies. The ideal candidate will have proven experience with Databricks, Unity Catalog, Delta Lake, and ADF, and will work closely with the team to deliver scalable, efficient, and secure data migration solutions. Key Responsibilities: Design and implement data migration pipelines from on-prem SQL Server to Azure Databricks Lakehouse. Build parameter-driven/config-based ETL mappings for reusable and dynamic pipelines. Migrate SQL stored procedures, views, and business logic from SQL Server to Databricks Unity Catalog stored procedures within the Databricks Lakehouse using Databricks SQL or PySpark. Configure and manage Databricks Unity Catalog for governance, lineage, access control, and security. Develop and optimize Delta Lake tables following the Medallion architecture (Bronze, Silver, Gold). Orchestrate ETL workflows via Azure Data Factory (ADF) and Databricks Workflows. Implement data access controls, account-level permissions, and object ownership via Unity Catalog. Collaborate with architects, developers, and business stakeholders to ensure data quality, lineage, and governance. Troubleshoot and optimize ETL pipelines for performance, scalability, and cost efficiency. Support CI/CD integration using Databricks Repos, Git, and Azure DevOps. Required Skills: 10+ years of experience in data engineering, including cloud migration projects. Hands-on expertise in Azure Databricks, ADF, ADLS Gen2, and Databricks Unity Catalog. Lakebridge Very good knowledge of SQL DB Stored procs, SSIS, SSRS Proven experience in migrating SQL stored procedures, views, and business logic to Databricks Unity Catalog stored procedures. Strong skills in Databricks SQL, PySpark, and Python for data transformation. Experience designing parameter-driven/config-based ETL frameworks. Deep understanding of Delta Lake, Medallion architecture, and data modeling. Knowledge of data governance, lineage tracking, and security policies. Experience with CI/CD automation, Git, and Azure DevOps. Visa Status: We are currently unable to sponsor visas. Only candidates who are visa-independent will be considered. Pay The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $110,000 - $145,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits As a fulltime employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

🌎 San Francisco (Hybrid) 💼 Founding/Staff Design Engineer 💵 $200-300k base Our client is an applied AI research lab combining world-class AI expertise-including alumni from Google DeepMind-with exceptional product execution to bring AGI-powered tools to finance. As a Design Engineer, you will own how users experience complex AI systems, defining both the UX and the implementation in modern frontend technologies. You'll be the bridge between cutting-edge research and highly polished, intuitive interfaces that financial professionals can trust. What you'll do: Own the end-to-end user experience for core products, from early prototypes to polished, production-ready interfaces. Build high-quality, interactive frontends using React, TypeScript, and Tailwind, making complex AI systems feel intuitive and trustworthy. Collaborate closely with researchers, PMs, and engineers to translate novel AI capabilities into clear and actionable workflows for users. Define and maintain the design system and component library, ensuring consistency, performance, and visual quality across all products. Run rapid experiments, gather user feedback, and iterate quickly, shaping product decisions with real-world data and insights. Make strategic technical choices-refactoring or redesigning frontend architectures when it improves quality, speed, or maintainability. Ideal candidate: Have built high-performance, polished web applications end-to-end, ideally in complex or data-heavy domains. Are an expert in modern frontend technologies (TypeScript, React, Tailwind, Next.js) and can translate high-level product concepts into production-ready interfaces. Can make non-trivial backend changes (Node.js or Python) and implement small services when needed to support product features end-to-end. Are skilled in at least one statically typed language, care deeply about type safety across UI and APIs, and make technology choices with an eye toward maintainability and long-term quality. Have deployed frontends or supporting services using Docker and Kubernetes on a major cloud provider-or can learn quickly. Use AI to accelerate your work-generating code, copy, or design variants-but critically review outputs to maintain UX quality and correctness. Thrive in high-performing, cross-disciplinary teams, enjoying collaboration with designers, researchers, and engineers. Love technically challenging problems at the intersection of interaction design, performance, and complex AI behavior. Nice to have: Experience designing for professional or enterprise users (traders, analysts, operators). Experience with data visualization or building rich, real-time interfaces. Previous early-stage startup experience or experience as one of the first design/UX hires. Compensation & setup: Competitive salary + meaningful equity upside Hybrid, primarily in-office in San Francisco, working closely with founders and research team High-ownership role with direct impact on product, design, and AI-powered workflows

Senior Data Centre Field Engineer - Bay Area (Frequent International Travel) | 12-Month Contract | 1099 or C2C Our client, a leading technology consultancy specialising in large-scale infrastructure deployments, is seeking an experienced Senior Data Centre Field Engineer to join their team on a 12-month contract. This position is based in the Bay Area and involves frequent international travel to client sites. This role will suit a highly skilled and self-driven field engineer with deep experience in data centre infrastructure, structured cabling, and enterprise network deployments. You will lead complex field projects, mentor junior engineers, and ensure that every installation meets the highest technical and quality standards. Role Overview As a Senior Data Centre Field Engineer, you will: Lead infrastructure deployment projects across data centre, enterprise, and retail environments, ensuring all deliverables are completed to scope, on time, and to a high standard. Pull, terminate, and test Cat6/6a and fibre structured cabling systems. Rack, stack, and configure network equipment; decommission legacy devices and patch cables as required. Deploy fully built racks into data centres and enterprise spaces, completing cross-connects and final cabling. Install and test Wireless Access Points, ensuring high-quality terminations and documentation. Partner with internal teams or local field engineers on complex, multi-site deployments. Mentor and support less experienced colleagues, sharing best practices and technical knowledge. Serve as a trusted on-site advisor, maintaining both client and internal standards throughout all project phases. Provide as-built and redline documentation updates to ensure engineering records remain current and accurate. Conduct post-project reviews, sharing lessons learned to continually improve delivery quality. Review project scopes, BOMs, and schedules using internal tools, identifying and escalating potential issues early. Stay current with emerging network technologies - routing, switching, Wi-Fi, firewalls, compute, storage, AV, power, and cabling. Represent the consultancy with professionalism, identifying potential business opportunities and maintaining strong client relationships. Required Skills & Experience 5+ years' experience delivering complex data centre or enterprise infrastructure projects for large customers (preferably via a VAR or systems integrator). Proven expertise in structured cabling, including fibre and copper installation, testing, and certification. Hands-on experience using tools such as Fluke testers, OTDRs, network analysers, and wire mapping tools. Ability to read and interpret MOPs, cable run lists, patch plans, and schematics. Strong troubleshooting and fault-finding skills within high-pressure, mission-critical environments. Proficiency with Unix/Linux CLI, network configuration, firmware installation, and device provisioning. Experience analysing wireless survey reports (e.g., Ekahau, Airmagnet, Hamina) and advising on signal remediation. Excellent customer-facing, communication, and documentation skills. Self-starter with strong organisational discipline and the ability to manage multiple concurrent projects. Certifications & Education Cabling certifications (e.g., CNCI, BTEC, City & Guilds, BICSI) desirable. CCNA or CWNA certification (or equivalent demonstrable knowledge) preferred. Contract Details Location: Bay Area, CA (frequent international travel required) Contract Type: 12-Month Contract (1099 or C2C) Client Type: Technology Consultancy Start Date: ASAP Compensation: Competitive day rate, based on experience If you are an experienced Senior Data Centre Field Engineer who thrives in hands-on environments and enjoys leading complex deployments, this is an excellent opportunity to join a forward-thinking consultancy working with some of the most respected clients in the industry.

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!

Salary: upto $400k cash + Equity & Bonus Reports to: CEO Team: Robotics & Systems Engineering As Head of Physical Systems & Robotics, you will own the vision and execution for physical infrastructure, from robotic hardware and manipulation systems to controls, perception, and high-throughput experimental platforms. You will lead multi-disciplinary teams to deliver physically capable, autonomous systems that integrate closely with AI and simulation teams. Key Responsibilities Technical Vision & Strategy: Define and drive the roadmap for robotics, automation, and physical system platforms. Team Leadership & Growth: Build and lead teams across robotics, controls, perception, systems integration, and hardware engineering. System Architecture: Establish robust hardware/software architectures for complex physical systems. Integration & Collaboration: Work with AI, simulation, and software teams to ensure seamless integration between algorithms and physical execution. Operational Excellence: Implement best practices for reliability, maintainability, safety, and scalability of robotic platforms. Hands-On Innovation: Balance leadership with technical involvement in prototypes, design reviews, hardware selection, and validation. Risk & Safety: Set standards for safety, testing protocols, fault tolerance, and regulatory compliance. Qualifications MS/PhD in Robotics, Mechanical Engineering, Electrical Engineering, or related fields. 10+ years of engineering leadership in building and scaling complex robotic or automated systems. Experience owning end-to-end physical systems, including motion planning, controls, perception integration, and hardware/software co-design. Strong track record of cross-disciplinary collaboration with AI researchers and software engineers. Excellent communicator and leader capable of motivating and aligning engineering teams. Bonus Points Experience with high-throughput or autonomous experimental platforms. Prior work with digital twin or simulator environments tied to physical hardware.

Maxonic maintains a close and long-term relationship with our direct client. In support of their needs, we are looking for: Job Title 1: BMC Firmware Engineer x 15 Openings Job Title 2: BIOS Firmware Engineer x 15 Openings Job Type: Fulltime Job Location: Fremont, CA or Nashville, TN Work Schedule: Onsite Job Title 1: BMC Firmware Engineer Responsibilities: Design, develop, and maintain BMC firmware solutions using embedded C and C++ in a Linux based environment. Implement industry specifications and protocols such as OpenBMC, Redfish, IPMI, and other Distributed Management Task Force (DMTF) standards. Develop firmware to interface with server hardware components, including sensors (voltage, temperature, fan speed), power supplies, and peripherals, using protocols such as I²C, SPI, and UART. Implement key BMC features including remote monitoring, power management, event logging (System Event Log/SEL), and remote keyboard-video-mouse (KVM) access. Collaborate with hardware design and platform architecture teams to ensure proper BMC integration during hardware bring-up and validation. Maintain security measures for BMC access, including user authentication, secure firmware updates, and vulnerability prevention. Use debugging tools and methodologies to diagnose and resolve system-level issues related to BMC and hardware interaction. Prepare and maintain technical documentation, including design specifications, test plans, and release notes. Provide guidance to junior engineers and take ownership of small to mid-sized projects. Qualifications: Proficiency in C and C++ programming for embedded systems. Hands-on experience with embedded Linux and OpenBMC framework. Strong understanding of server hardware architecture and communication protocols (I²C, SPI, UART, PCIe). Ability to troubleshoot and debug complex system-level interactions. Effective communication skills for cross-functional collaboration. Ability to work independently on most assignments and provide technical leadership on smaller projects Preferred qualifications: Familiarity with DMTF standards such as Redfish, MCTP (Management Component Transport Protocol), PLDM (Platform Level Data Model), and SPDM (Security Protocol and Data Model). Experience with System-on-a-Chip (SoC) architectures, particularly ARM-based systems. Knowledge of scripting languages (e.g., Python, Shell) for automation and testing. Exposure to Agile development methodologies. Understanding firmware security principles. Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or a related technical field. 2-5 years of hands-on embedded firmware development experience, specifically with BMC systems. Demonstrated ability to lead tasks or small projects with limited supervision. Prolonged periods of sitting at a desk and working on a computer. Ability to access and navigate various departments within the organization's facilities. Job Title 2: BIOS Firmware Engineer The BIOS/UEFI Firmware Engineer will design, develop, and debug system firmware that initializes hardware and boots operating systems. This role focuses on UEFI and BIOS development, ensuring optimal system performance, security, and hardware compatibility from power-on. The engineer will also provide technical leadership, mentor junior engineers, and collaborate across hardware, software, and security teams as part of the Engineering Services organization. Key Responsibilities Design, develop, and maintain UEFI/BIOS firmware using C/C++. Contribute to all stages of the UEFI boot process, including SEC, PEI, and DXE phases. Lead hardware bring-up for new platforms and debug hardware-firmware interactions across CPU, memory, and peripheral devices. Ensure correct initialization of key system components such as DDR, PCIe, SATA, USB, and other interfaces. Optimize boot performance and implement firmware security measures (e.g., Secure Boot, Intel Boot Guard, TPM integration). Collaborate with hardware teams to interpret schematics, datasheets, and ensure accurate hardware configuration. Use advanced debugging tools (JTAG, logic analyzers, in-circuit emulators) to troubleshoot complex issues. Participate in and lead code reviews, author technical documentation, and mentor junior team members. Partner cross-functionally with hardware, OS, and security teams to ensure system compatibility and reliability. Qualifications Strong proficiency in C/C++ programming for embedded systems. Deep understanding of UEFI architecture (EDK2 framework), x86 architecture, and system boot processes. Experience with hardware interfaces such as PCIe, SPI, I2C, and USB. Skilled in low-level debugging of boot and hardware initialization issues. Familiarity with System Management Mode (SMM), ACPI, Intel FSP, or IFWI. Knowledge of firmware security standards (e.g., NIST SP 800-193, Secure Boot). Experience with Python or other scripting languages for automation. Proven leadership skills-guiding projects, mentoring engineers, or leading technical initiatives. Excellent analytical, problem-solving, and communication skills. Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or related field. Minimum 2+ years of BIOS/UEFI firmware development experience with demonstrated leadership responsibilities. 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 Saurav Kumar (****************** / *************** for more details.

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