Advanced Robotics Electrical Engineer, Frontier AI & Robotics
Senior engineer job in San Francisco, CA
We are seeking a hands-on Electrical Engineer to lead the design and integration of electrical systems or subsystems for high-degree-of-freedom robotic platforms. This role involves architecting the robot's power distribution, sensor wiring, and embedded electrical infrastructure.
You will be responsible for designing across the full electrical system for advanced robotics platforms including including power distribution, sensing, compute, motor controllers, communication infrastructure, battery system and power electronics in close collaboration with mechanical, controls and software engineers. You'll play a key role in ensuring high-performance, reliable operation of complex electromechanical systems under real-world conditions.
Key job responsibilities
* Electrical system architect / owner for power electronics, actuation, PCBAs, battery, ware harness specs and high speed electrical/communications protocols
* Design, develop and integrate power distribution, embedded electronics, motor controllers and safety-critical circuits for complex robotic systems
* Own board layout of PCBAs including SoCs, microcontrollers, sensors, power devices, etc. using Cadence OrCAD/Allegro or equivalent tools. Oversee bring-up and validation
* Determine appropriate high speed electrical and communication protocols (e.g., CAN, EtherCAT, USB, etc) for reliable and efficient system operation
* Specify and design custom power electronics and power distribution boards to meet performance, thermal, and safety requirements
* Design and route all cabling and wire harnesses across the robotic platform, considering EMI, signal integrity, serviceability, and integration with mechanical structures
* Architect and integrate the robot's battery system, including protection circuitry, battery management, charging systems, and thermal considerations
* Define and implement wiring and electrical interfaces for sensors (e.g., lidar, stereo cameras, IMUs, tactile) and compute modules
* Ownership over prototyping and bringing up electrical designs and creation of test & validation rigs
About the team
Frontier AI & Robotics (FAR) is the team at Amazon building the next generation of embodied intelligence. FAR drives the development and implementation of advanced AI models within Amazon's operations that enable robots to see, reason, and act on the world around them, supporting a number of different warehouse automation tasks.
BASIC QUALIFICATIONS- Experience in developing functional specifications, design verification plans and functional test procedures
- Bachelor's or Master's in Electrical Engineering or a related field.
- 6-10+ years of experience designing and integrating electrical systems in robotics, distributed systems, or complex electromechanical platforms.
- Proficient in PCB design (schematic capture and layout) using Cadence OrCAD/Allegro or similar tools.
- Experience in embedded controls, high-speed differential signaling, microcontrollers, memory buses, digital design, and power electronics
- Experience with wire harness design, including connector selection, cable speccing, and EMI mitigation strategies.
- Hands-on experience testing, validating and debugging hardware (use of oscilloscopes, logic analyzers, etc.)
PREFERRED QUALIFICATIONS- Experience with high-DOF robotic systems.
- Familiarity with high-speed data protocols (e.g., CAN, EtherCAT, etc.).
- Exposure to embedded programming (e.g., C, Python, VHDL, etc.) and firmware bring-up
- Understanding of thermal design and safety design considerations in high-power robotic systems
- Experience working in environments with DFM/DFA constraints and production scaling.
- Familiarity with mechanical CAD (e.g., SolidWorks) for collaborative integration work.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,600/year in our lowest geographic market up to $213,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.
Senior Data Centre Field Engineer
Senior engineer job in Santa Rosa, CA
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.
Testing Engineer I
Senior engineer job in Santa Rosa, CA
We are seeking a detail-oriented and proactive Testing Engineer I to join our Quality Engineering team. In this role, you will collaborate with clients' test engineering teams to design test plans, develop test cases, execute manual tests, and identify/report defects. The ideal candidate should have strong analytical skills, excellent communication abilities, and a passion for delivering high-quality products.
Key Responsibilities
Collaborate with client test engineering teams to:
Develop comprehensive test plans for various components.
Create detailed and accurate test cases.
Execute manual testing across multiple platforms and environments.
Identify, document, and report bugs/defects using standard tools.
Perform a wide range of testing activities, including:
Camera & Photography Testing
Back-end Testing
Black Box Testing
Carrier Testing
Cross-Browser / Cross-Platform Testing
Compatibility Testing
Documentation Testing
Compliance Testing
Exploratory Testing
Accessibility Testing
Functional Testing
API / Services Testing
Integration Testing
Device Testing
Regression Testing
Globalization / Localization / Language Testing
User Acceptance Testing (UAT)
Mobile Application Testing
System Testing
Manual Testing
Analyze customer scenarios to ensure comprehensive test coverage.
Maintain accurate test documentation, logs, and reports.
Collaborate with developers, product managers, and stakeholders during defect triage and issue resolution.
Requirements
0-2 years of experience in Software Testing or Quality Assurance.
Hands-on experience working with Unix/Linux or Windows environments.
Strong understanding of manual testing concepts, test design, and bug reporting.
Working knowledge of test automation tools (Selenium, Appium, or similar) is an added advantage.
Excellent analytical skills with the ability to think through customer usage scenarios.
Strong written and verbal communication skills.
Detail-oriented, organized, and able to work in a fast-paced environment.
Preferred Skills (Nice to Have)
Basic scripting skills (Python, Shell, JavaScript, or similar).
Familiarity with API testing tools such as Postman or Swagger.
Exposure to automation frameworks or CI/CD pipelines.
Staff Backend Engineer
Senior engineer job in San Francisco, 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
Machine Learning Research Engineer
Senior engineer job in San Francisco, CA
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!
Senior Back End Engineer - AI Workflow/Application Builder
Senior engineer job in San Francisco, CA
🚀 Senior Backend Engineer - AI Application Builder
📍 SoMa, San Francisco, CA | 💼 Full-Time | Onsite
💰 Salary: $200K-$325K + Meaningful Equity (1%+)
Join an early-stage AI SaaS start-up creating an application builder that empowers business users to build custom applications where humans and AI collaborate seamlessly across enterprise systems. The company addresses complex enterprise challenges, including multi-day workflows, cross-system integrations (ERP/CRM/financial platforms), secure VPC hosting, and enterprise-grade observability, logging, identity, and compliance controls.
About the Role
We're looking for a Backend Engineer to lead the development of backend systems and architecture. This is a rare opportunity to take ownership of core systems in an early-stage company, shaping architecture, scalability, and reliability from the ground up.
You'll tackle challenging problems like orchestrating multi-system workflows, processing large-scale data asynchronously, and safely executing AI-generated code - all while collaborating closely with the applied AI team.
What You'll Do
Design and build the core workflow engine - the orchestration layer connecting agents, data sources, and frontend views.
Develop and scale the TypeScript-based backend, handling asynchronous execution, retries, and deterministic routines.
Build and maintain integration layers for REST APIs, SQL sources, and third-party systems.
Collaborate with the applied AI engineering team to integrate automation and intelligence across systems.
Define and enforce best practices for backend architecture, reliability, and developer experience as the company scales.
Who You Are (Must-Haves)
4-15 years of professional software engineering experience.
Strong experience with TypeScript, Node.js, and modern backend architectures.
Experience designing complex data models and managing asynchronous tasks/workflows.
Prior experience working in early-stage startups or high-growth environments.
Experience integrating multiple systems, including REST APIs and SQL sources.
Excited by building scalable systems and comfortable in a startup environment.
Excellent problem-solving, collaboration, and communication skills.
Nice-to-Haves
Experience building or integrating AI / LLM-powered applications.
Familiarity with Temporal or similar orchestration/workflow systems.
Exposure to other modern backend frameworks or cloud technologies (AWS, GCP, Kubernetes).
Why Join?
Competitive salary: $200K-$325K + meaningful equity (1%+) in an early-stage company.
Work alongside experienced founders who have successfully scaled AI and enterprise SaaS products.
Shape the architecture and direction of a high-impact backend system used across complex workflows.
Be part of a small, highly motivated team at the forefront of AI and enterprise applications.
Founding Product Engineer
Senior engineer job in Santa Rosa, CA
A Product Engineer in this role will focus on building and scaling a high-quality AI agent product with strong UX, full‑stack development, and close user collaboration, and should bring 2+ years of startup experience, strong TypeScript skills, and a deep interest in the AI agent space while helping build “high-taste” products for self-learning AI agents and playing a key role in scaling the product to meet growing customer demand while maintaining an exceptional user experience in a rapidly evolving AI agent ecosystem.
Responsibilities
Collaborate closely with a product designer to ship new features and refine existing user flows based on customer feedback.
Engage directly with customers to understand needs, gather feedback, validate ideas, and pitch new features.
Develop core product features across the stack (front-end, back-end, and database work) with a focus on quality and reliability.
Experiment with new features and technologies, build quick demos for the team, and productionize promising solutions.
Contribute to product and design reviews, ensuring the experience is intuitive, polished, and delightful to use.
Requirements
2+ years of experience in product, full‑stack, or front‑end engineering at technology startups (Seed to Series E).
Proficiency in TypeScript, with experience either across the stack or in front‑end‑leaning roles.
Experience at a high‑taste product company or at an AI/agent‑native startup.
Undergraduate degree in Computer Science, Engineering, or a related field.
What we're looking for
Strong product sense and attention to user experience; you care about how things feel, not just how they work.
High agency and ownership mindset-you proactively find problems, propose solutions, and ship iteratively.
Genuine excitement about the AI agent space and improving agent behavior for real users.
Comfort working in a fast-moving, experimental environment with tight feedback loops from users and teammates.
Lead AI Engineer / Head of R&D
Senior engineer job in Santa Rosa, CA
Mission
To engineer the next generation of AI-Assisted Human Annotation Systems. Our goal is to scale the production of high-quality, personalized, and safety-aligned datasets.
Key Responsibilities
Participate in the customer solution - making process and provide guidance on data services;
Design and develop Agent-Assisted Annotation Workflows;
Build Automated Quality Evaluation Frameworks;
Synthetic Data Generation (SDG) Pipeline;
RAG & Fact-Checking Integration.
Requirements
Tech Stack: Mastery of Python; deep experience with LangChain, LlamaIndex, or custom Agent frameworks.
LLM Engineering: Proven experience manipulating LLM APIs for complex tasks (chain-of-thought construction, few-shot prompting).
Data Operations: Familiarity with RLHF data formats (SFT/DPO/PPO) and data versioning tools.
Mindset: A "Data-Centric AI" philosophy-you understand that code is static, but data is dynamic, and you build tools to manage that complexity.
Smart Contract Engineer
Senior engineer job in San Francisco, CA
You'll work closely with our product, engineering, and security teams to build scalable decentralized systems that push the boundaries of what's possible on-chain.
Key Responsibilities:
Design, write, test, and deploy smart contracts on Ethereum or other EVM-compatible blockchains.
Collaborate with frontend and backend developers to integrate smart contracts into decentralized applications (dApps).
Conduct peer reviews, optimize gas efficiency, and maintain best practices for security.
Develop automated testing frameworks to ensure contract reliability.
Stay up to date with emerging blockchain protocols, development tools, and security standards.
Participate in smart contract audits and coordinate fixes for any identified vulnerabilities.
Contribute to technical documentation for contracts and protocols.
Requirements:
Proven experience developing and deploying smart contracts in Solidity (or Rust, for non-EVM chains).
Strong understanding of blockchain fundamentals, consensus mechanisms, and token standards (ERC-20, ERC-721, ERC-1155).
Experience with smart contract development tools such as Hardhat, Foundry, Truffle, or Remix.
Familiarity with Ethereum and Layer 2 scaling solutions (e.g., Arbitrum, Optimism, Polygon).
Understanding of web3 libraries (ethers.js, web3.js) and dApp integrations.
Senior Research Engineer
Senior engineer job in Santa Rosa, CA
A fast-growing, deeply technical AI company is looking for a Research Engineer to join a small, high-performing team building the next generation of agentic LLM systems for software development. This is an opportunity to work at the frontier of AI, helping design and evaluate models that can understand, write, and reason about complex codebases.
We are looking for someone who is passionate about AI for code, obsessed with understanding how LLMs behave, and excited to help push the boundaries of autonomous software engineering.
What You'll Work On
Design and run large-scale LLM evaluations, benchmarks, and experiments - particularly for code understanding and generation tasks.
Build tools, datasets, and research frameworks that measure LLM reasoning, reliability, grounding, and hallucination reduction.
Collaborate closely with product and engineering teams to improve model performance across real-world developer workflows.
Work with frontier LLMs (across multiple providers) to analyze behavior, provide structured feedback, and drive improvements in accuracy, reliability, and autonomy.
Prototype new capabilities for long-horizon agentic systems, including retrieval, planning, debugging, and automated coding workflows.
Contribute to model fine-tuning and alignment work, including SFT, LoRA, DPO, or RLHF pipelines.
Build production-quality research tools and evaluation pipelines that scale to real engineering environments.
What We're Looking For
3+ years of experience in AI/ML engineering, research engineering, or similar fields.
Strong coding fundamentals and comfort working in production environments (Python preferred).
Hands-on experience with LLMs (training, fine-tuning, benchmarking, or evaluation).
Experience with transformer architectures, retrieval-augmented generation (RAG), or reasoning-heavy LLM workflows.
Deep interest in code generation, AI developer tools, or program synthesis (professional or personal projects).
Ability to think rigorously about model behavior, failure cases, and reliability.
Comfortable working in a fast-paced, highly collaborative environment with end-to-end ownership.
Bonus Points
Experience with AI systems for code: program synthesis, automated debugging, static analysis, code search, etc.
Prior work with agentic or multi-step reasoning systems.
Contributions to evaluation frameworks, benchmarks, or open-source model tooling.
Background in compilers, programming languages, distributed systems, or developer tooling.
Research experience at top universities, labs, or advanced ML teams.
Why This Role Is Exciting
Work directly with cutting-edge LLMs and agentic tooling.
Influence the direction of an emerging AI product with real-world impact.
Solve some of the hardest problems in AI today: evaluation, grounding, reasoning, and autonomous coding.
Join an elite team with deep experience in LLMs, distributed systems, and developer productivity tools.
Massive opportunity for ownership, impact, and career growth.
If you're passionate about AI for software engineering, love solving deep technical problems, and want to work at the frontier of LLM research, we'd love to hear from you.
Senior AI Research Engineer
Senior engineer job in Santa Rosa, CA
VC-backed Series B startup on a high-growth trajectory.
Revolutionizing commerce through direct engagement with powerful conversation AI.
Join a world-class team with opportunity for rapid career advancement.
What you will do
Utilize cutting-edge research to enhance powerful AI sales assistant.
Propose and test innovative experiment ideas.
Lead efforts in dataset collection and generation.
Optimize models and inference processes.
Collaborate with ML and Data engineers on distributed training scripts.
What you will need to succeed
At least 3 years of experience with production AI systems.
At least one first-author publication/strong track record of open-source contributions
Deep understanding of LLMs and transformer blocks.
Strong grasp of ML fundamentals.
Experience with distributed training.
Some exposure to production inference.
Emphasis on product-focused research that directly adds value to customers
Proficiency with PyTorch.
Experience building agentic systems with task-specific models.
Experience iterating AI products based on customer feedback.
Spacecraft Avionics Lead Engineer
Senior engineer job in Santa Rosa, CA
San Francisco Bay Area
A pioneering space company developing next-gen orbital mobility solutions is hiring an Avionics and Software Lead to own the full stack of spacecraft avionics and flight software for a new Spacecraft Development.
This is a rare opportunity to architect, build, and validate a complete flight system from scratch, working on cutting-edge propulsion-enabled platforms designed for responsive orbital manoeuvring.
In this role, you'll define the avionics architecture, lead integration of radiation-tolerant electronics, and drive flight software development-including GNC algorithms, EPS design, and hardware-in-the-loop testing. You'll collaborate closely with cross-functional engineering leads to ensure spacecraft safety, autonomy, and reliability from concept through CDR.
This is a hands-on leadership role for someone excited by the challenge of building high-performance spaceflight systems in a rapid development environment.
What You'll Be Doing:
Own the full avionics and flight software architecture through critical design review (CDR)
Select and integrate COTS radiation-tolerant components for power, compute, and data handling
Lead development of flight and ground software (telemetry, real-time control, fault management)
Define and implement guidance, navigation, and control (GNC) algorithms
Design electrical power systems (EPS), data bus architecture, and flight harnessing
Build and operate a flat-sat HIL testbed for integration and validation
Develop ICDs and maintain firmware/software configuration processes
Support subsystem integration and testing campaigns
Conduct FMEA and reliability analyses
Lead subsystem design reviews and contribute to broader mission engineering milestones
What You'll Need:
Bachelor's degree in software engineering, electrical engineering, or similar
8+ years of experience developing avionics or flight software for spacecraft or other high-reliability systems
Strong background in embedded systems, spacecraft autonomy, or GNC
Proficiency in C/C++ or Rust; Python for scripting/testing
Experience with radiation-hardened processors and electronics (Microchip, Xilinx, etc.)
Familiarity with CAN, SpaceWire, RS-422, and other bus protocols
HIL integration experience and knowledge of EMI/EMC and power distribution design principles
U.S. Person (citizenship or permanent residency) required
Desirable Experience:
Autonomy frameworks or fault-tolerant flight software
Space-rated EPS or battery management systems
Responsive space operations or in-space logistics
Previous experience in a startup or fast-paced R&D environment
Lead AI Engineer
Senior engineer job in Santa Rosa, CA
The Role
Our client is looking for a Lead AI Engineer to spearhead the development of our state-of-the-art foundation model for manufacturing and CAD.
This is a leadership role at the intersection of AI, technical architecture, and company vision: a chance to shape not only our models, but the direction of AI in the physical world.
What You'll Do
Architect and lead the development of a next-generation foundation model that integrates text, geometry, and design intelligence.
Build and code: set the standard for technical excellence in ML engineering and model development.
Define and own the technical roadmap for Backflip's core model, including architecture, data, training, and evaluation strategy.
Shape AI strategy in close collaboration with Backflip's leadership team, ensuring the technical direction is in harmony with product and customer goals.
Drive execution: set ambitious objectives, define milestones, and uphold a high technical bar across the team.
Mentor and develop engineers across AI and software, fostering growth, creativity, and technical mastery.
Collaborate deeply with customers, product, and the sales team to ground model design in real-world feedback and deliver impactful AI-powered tools.
Ship real products. You've done it before, and you'll do it again - taking models from research to production systems used by real people in the physical world.
Who You Are
You've led and shipped at least one (ideally multiple) ML products or large models into real-world production.
You have deep experience building large-scale multimodal or generative models (text, 3D, or visual), and are fluent in PyTorch, distributed training, and modern ML infrastructure.
You're comfortable thinking across architecture, data, and evaluation, and thrive in the ambiguity of solving hard problems end-to-end.
You've led teams or initiatives that influenced company direction, product definition, or customer experience.
You bring strong communication and leadership skills, with a clear sense of how technical vision connects to product and customer value.
You care deeply about building tools that expand human capability, not just optimizing benchmarks.
You're inspired by the opportunity to redefine how AI reshapes manufacturing and design in the real world.
What We're Looking For
5-7+ years in deep learning / generative AI with a record of shipping complex systems.
Expert in multimodal and generative models (transformers, diffusion, autoregressive); strong Python + PyTorch.
Evidence of technical leadership as an IC: you've set standards, led cross-functional efforts, and made architectural decisions that lasted.
Fluency from research to production: data strategy, training, tooling, serving, and performance engineering.
Bonus
Experience with CAD, 3D geometry, graphics, differentiable programming, or AI for the physical world.
Senior Data/AI/ML Software Engineer
Senior engineer job in Santa Rosa, CA
Crossing Hurdles is a global recruitment firm partnering with, a fast-growing Clinical Data Intelligence platform built on 12+ years of advanced research in Machine Reading and Knowledge Graph technology. It automates the low-level cognitive workflows that slow down clinicians, researchers, data abstractors, and care teams - helping healthcare systems operate faster, more accurately, and more efficiently.
Role: Senior Data/AI/ML Software Engineer
Location: Remote US
Compensation: $150K-$300K (level & location based) + 0.1%-0.5% equity
YOE: 7+ years in AI/ML or full-stack SWE
Visa: H1B transfers + possible new H1B sponsorship
Type: Full-time
Why you should consider this
Build the intelligence layer behind a platform transforming clinical workflows at scale.
Work with cutting-edge NLP, Machine Reading, and Knowledge Graph technologies.
High-ownership role in a small, senior, research-driven engineering team (20 people).
Join a company backed by $15M+ funding, growing rapidly in the healthcare AI space.
Direct real-world impact: your work will be used daily by clinicians and care teams.
Remote-first, high-autonomy culture with strong technical leadership.
About the role
Build and enhance clinical information extractors, summarizers, and automation systems.
Scrape, process, transform, query, and analyze structured/unstructured clinical data.
Evaluate system performance and refine the clinical knowledge graph.
Develop secure, compliant code aligned with HIPAA & SOC 2.
Contribute to core data/AI/ML pipelines and infrastructure.
Participate in an on-call rotation to ensure system uptime.
Requirements / Who is the ideal fit
7+ years of experience in AI/ML engineering or full-stack SWE.
Deep hands-on experience with NLP/LLMs, data-intensive systems, and ML pipelines.
Strong expertise in Python, SQL, PyTorch, GCP, FastAPI, Django, BigQuery, dbt, Pandas.
Experience working with large, messy, clinical/healthcare datasets (nice-to-have).
Familiarity with secure coding, privacy, and compliance standards.
Must be able to work Pacific Time core hours; US-based only
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Principal Software Engineer
Senior engineer job in San Francisco, CA
Hi,
Greetings from Solvecube HCM
I hope you are enjoying a great day! I am from Solvecube HCM, an AI Based global consulting firm head quartered in Singapore.
Our client is a Healthcare AI Startup based in San Francisco, USA and looking for a great tech leader as their Principal Engineer. It is a permanent role with client.
Your experience at Ambience Healthcare must have equipped you with unique insights and skills that could be a great fit for this role. This opportunity offers a chance to work with a talented team and fixed Salary+Stock options.
Key Responsibilities
Set technical vision and lead architecture for AI-first platform services.
Build advanced systems in LLMOps, reinforcement learning, and AI pipelines.
Evaluate and integrate cutting-edge frameworks (LangChain, Hugging Face, RAG).
Collaborate with leadership on long-term technology strategy.
Mentor senior engineers across India and US teams.
Qualifications
10+ years of experience in software/AI engineering, including leadership roles.
Deep expertise in PyTorch, TensorFlow, LangChain, Hugging Face.
Proven ability to innovate and deliver in startup/scale-up environments.
Strong communication and collaboration skills.
If this sounds intriguing, I'd love to chat more about it. Feel free to reply to this email or let me know if you'd prefer a quick call. Looking forward to hearing from you soon!
If you are not exploring at this moment let me know if you have a strong reference for the same.
Please note: The incumbent should be a local citizen or a Green card holder to be eligible.
Best regards,
Lijy Ronnie
Mail me : ******************
Senior Software Engineer-Robotics Automation
Senior engineer job in San Francisco, CA
Job Title: Senior Software Engineer-Robotics
Salary: $175,000-$300,000 + Equity!
Skills: Python, TypeScript, 3D Geometry Libraries, CAD/CAM, Robotics
About the Engineering Company / The Opportunity:
Join a visionary engineering company at the forefront of automation in manufacturing. Focused on building the AI-powered bridge between computer-aided design (CAD) and manufacturing (CAM), our client is revolutionizing how mechanical parts are produced by creating intelligent, adaptive systems that transform manual setup into seamless automation. As a Senior Software Engineer-Robotics, you'll work alongside passionate founders and fellow innovators, shape foundational systems at the heart of next-generation manufacturing, and have the opportunity to directly impact the future of production technologies.
Responsibilities:Design and build robust end-to-end systems across backend and frontend platforms.
Translate mechanical and geometric logic-including CAD, machining, and fixturing-into scalable production software.
Prototype and implement algorithms that intersect physics, geometry, and AI for real-time automation.
Develop and deploy systems that interact directly with machinists, sensors, and live production data.
Drive architectural decisions and help establish the core infrastructure as a foundational engineer.
Collaborate closely with company founders to deliver high-impact features in fast-paced, high-growth environments.
Ship reliable software that interfaces effectively with physical robotics and manufacturing systems.
Must-Have Skills:5-8 years of full-stack or systems engineering experience.
Strong proficiency in Python and TypeScript.
Hands-on experience with 3D or geometry programming libraries such as OpenCascade, Three.js, or PyMesh.
Background in mechanical engineering, robotics, or CAD/CAM software development.
Solid mathematical foundation in geometry, kinematics, and linear algebra.
Proven ability to independently deliver complex technical solutions.
Nice-to-Have Skills:Previous experience as a founder or early-stage/founding engineer in a tech startup.
Hands-on experience in machining, manufacturing, or robotics systems integration.
Experience collaborating with cross-disciplinary teams in fast-growing, innovative environments.
Familiarity with real-time production data systems and sensor integration.
Exposure to AI or ML frameworks applied to engineering or automation challenges.
Senior Cloud Engineer
Senior engineer job in San Francisco, CA
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.
Senior Cloud Engineer (AWS) Day 1 onsite in SFO, CA
Senior engineer job in San Francisco, CA
Role : Senior Cloud Engineer (AWS)
Duration: Long Term Contract
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.
Senior Agentic AI Engineer
Senior engineer job in San Francisco, CA
A frontier AI company is building systems that can act in the physical world, experimenting, engineering, and executing multi-step processes with real-world constraints. Backed by major research funding and operating at the edge of physical-AI innovation, they're creating capabilities that don't exist anywhere else. Join to work from first principles, own high-impact systems end-to-end, and help define how agentic AI will operate complex workflows in the real world.
Why This Role Matters
Build agent systems that plan, execute, and recover across intricate engineering workflows
Shape foundational behaviour patterns for next-gen LLM tool-use
Join early enough to influence architecture, culture, and performance standards
Work on problems that sit far beyond typical “LLM app” engineering
What You'll Do
Develop planners, state machines, and tool-calling flows using frameworks like LangGraph
Create schemas, action definitions, and cross-tool interfaces for reliable, traceable execution
Build error-handling, timeouts, retries, rollbacks, and replay mechanisms
Partner with ML, infra, and systems teams to integrate agents into real engineering toolchains
What You Bring
Strong experience with agent systems, structured tool calling, or orchestration frameworks
Deep intuition for schemas, deterministic execution, and multi-step workflow design
Ability to model failure modes, edge cases, and safe interactions in complex systems
Comfort working across AI, systems engineering, and specialised domain tools in a high-precision environment
Senior Software Engineer
Senior engineer job in Santa Rosa, CA
Job Title: Senior Software Engineer (Full-Stack)
Employment Type: Full-time
Salary: $175K - $250K per annum
About Client:
Our client is a Series A start up, growing quickly as they onboard new customers and scale platform, using AI to remake the way consumer underwriting is done, starting with residential real estate. Most consumers' most important financial information is locked up in documents, and we've built technology that is able to harness this data to help make better lending decisions. We've coupled this underwriting agent with advanced document and identity anti-fraud, and we're working toward democratizing sophisticated consumer underwriting for all.
About the Role
Seeking a Staff Software Engineer with 7-8+ years of experience to lead the re-architecture of our core platform as we scale rapidly. After two years of fast-paced product development, our system has grown into a collection of disparate services, and we need a senior IC to unify, rebuild, and streamline the foundation. This role reports directly to the CTO and plays a critical part in shaping the technical future of the company.
What We're Looking For
7-8+ years of professional experience as a strong individual contributor.
Deep expertise in systems design, architectural refactoring, and scaling codebases beyond the “fast startup” phase.
Experience at a high-growth startup (Seed → Series B/C) where engineering teams expanded meaningfully.
Strong full-stack or backend skills (Typescript, React, Node.js, Python preferred).
Ability to navigate ambiguity, make sound technical decisions with incomplete context, and iterate quickly.
High engineering bar-someone who can elevate the code quality and system design of the entire team.
Tech Stack
Frontend: Typescript, React
Backend: Node.js, Python
Databases: Postgres, BigQuery, Redis
Cloud: GCP
Seniority & Experience
7+ years in full-stack software engineering (backend-leaning).
Experience leading technical projects, refactoring code, and re-architecting systems.
History of progression or promotions within startup roles (e.g., to Staff/Principal level).
Education
CS degree from a top 20 school
What You'll Do
Architect & Rebuild the Core System
Re-architect major parts of the existing platform into a cleaner, scalable, and more maintainable system.
Refactor or remove unnecessary code to create a cohesive architecture.
Drive high-level technical decisions across backend and full-stack systems.
Establish and reinforce best practices and architectural consistency across the engineering team.
Lead High-Impact Feature & Infrastructure Work
Collaborate with the CTO to define long-term technical direction.
Work with senior and junior engineers to implement new features and improve systems.
Support onboarding of larger enterprise customers by enhancing platform stability and extensibility.
Own Key Product Initiatives
Lead system architecture for new workflows, including real-time ID, income, and document verification.
Integrate and maintain in-house ML models used for fraud detection and financial document understanding.
Improve the technical foundation powering our 70%+ automated approval/denial workflow.
Why Join
This is a rare opportunity to join a fast-scaling Series A company with real customers and traction. You'll act as the technical adult in the room, refactoring, simplifying, and shaping the long-term architecture while influencing major product decisions. You will have a direct impact on the company's core systems and help define the foundation for future growth.