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 San Francisco, 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.
Test Engineer
Senior engineer job in San Francisco, CA
Testing Engineering III
* Job Title : Testing Engineering III
* Job Description : Work with a client's test engineering team to create test plans, creating test cases, help reviewing test plans, create bugs and automation scripts, set up large-scale test environments, executing & overseeing test runs, finding and reporting bugs. Requires leading and leading a team in creating test strategies and plans.
* General Skills: Camera & Photography Testing, Black Box Testing, Cross Browser/Cross Platform Testing, Documentation Testing, Exploratory Testing, Functional Testing, Integration Testing, Regression Testing, User Acceptance Testing (UAT), System Testing, Manual Testing, Transformation - Test Case Optimization & Enrichment.
* Specialized Skills: Back-end Testing, Carrier Testing, Compatibility Testing, Compliance Testing, Accessibility Testing, API/Services Testing, Device Testing, Globalization/Localization/Language Testing, Mobile App Testing.
* Key Qualifications:
* Excellent test skills with experience in testing large-scale systems; web-based preferable.
* Excellent analytical skills. Proficiency/experience in... (The text is cut off but likely refers to a specific skill or tool).
* Excellent skills in thinking through customer scenarios of using products.
* Excellent communication skills, both verbal and written.
* Excellent skills in using multiple test automation tools.
* Working knowledge in creating, reviewing, and updating test scripts.
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
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.
Lead AI Engineer / Head of R&D
Senior engineer job in San Francisco, 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.
Founding Product Engineer
Senior engineer job in San Francisco, 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.
Product Engineer
Senior engineer job in San Francisco, CA
Crossing Hurdles is a global recruitment consultancy partnering with a fast-growing startup (YC W24) which is into orchestrating users' GitHub Action workflows on a fleet of bare-metal gaming CPUs, with build caches co-located next to CI jobs-all enabled by a single line of code. Raised a Series A funding, bringing total capital to $13.5M, and grew ARR from $1M to $3M in just 4 months, continuing to scale rapidly.
Role - Product Engineer
Location - 5 day/week in NYC/SF
Required Tech Stack - React, TypeScript, Golang, Postgres, ClickHouse
Compensation - $200k - $300k
Benefits - Medical, Vision, and Dental insurance, Unlimited PTO, Quarterly offsite, 12 weeks fully paid parental leave (US)
Requirements:
3 - 10 YoE as a great full stack engineer who is 50%-90% frontend leaning but can also work on the backend.
Must be product-minded and have worked on customer-facing products
Must be proficient in React / TypeScript
Why Candidate Should Join:
Orchestrates millions of virtual machines each month to run CI jobs efficiently across a proprietary fleet of bare-metal servers.
Powers continuous integration for 600+ high-growth startups
Founded by elite engineers
System Engineer
Senior engineer job in San Francisco, CA
Systems Engineer - Video Intelligence Infrastructure - San Francisco
About the Company
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 a Systems Engineer to join their team.
What You'll Be Doing:
Design and engineer systems that handle compute, scheduling, and orchestration of complex ML + ETL pipelines
Optimize hyper-fast distributed systems running at the scale of thousands of GPUs
Build systems that process video data quickly, reliably, and cost-effectively at internet scale
Develop robust internal tooling and CI/CD pipelines for rapid ML team iteration
Focus on system uptime and performance optimization for mission-critical infrastructure
What We're Looking For:
3+ years building foundational data infrastructure
Experience designing and maintaining pipelines that process petabytes of data
Strong background developing CI/CD pipelines for ML-focused teams
Excellent coding skills in Go and Python
Independent contributor who leads by example
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 AI Research Engineer
Senior engineer job in San Francisco, 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.
Senior Research Engineer
Senior engineer job in San Francisco, 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.
Spacecraft Avionics Lead Engineer
Senior engineer job in San Francisco, 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 San Francisco, 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.
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 : ******************
Principal Software Engineer
Senior engineer job in South San Francisco, CA
This is a full-time role with a client of Dinan & Associates. This role is with an established company and includes excellent health care and other benefits.
Role: Principal / Senior Principal Software Engineer Industry: Biotechnology / Pharmaceutical R&D Location: San Francisco Bay Area (Hybrid)
The Organization We are a leading global biotechnology company driven to innovate and ensure access to healthcare for generations to come. Our goal is to create a healthier future and more time for patients with their loved ones.
The Position Advances in AI, data, and computational sciences are transforming drug discovery and development. Our Research and Early Development organizations have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact.
Our Computational Sciences group is a strategic, unified team dedicated to harnessing the transformative power of data and Artificial Intelligence (AI) to assist scientists in delivering innovative medicines for patients worldwide. Within this group, the Data and Digital Solutions team leads the modernization of our computational and data ecosystems by integrating digital technologies to empower stakeholders, advance data-driven science, and accelerate decision-making.
The Role The Solutions team develops modernized and interconnected computational and data ecosystems. These are foundational to building solutions that accelerate the work done by Computational and Bench Scientists and enable ML/AI tool creation and adoption. Our team specializes in building Data Pipelines and Applications for data acquisition, collection, storage, transformation, linkage, and sharing.
As a Software Engineer in the Solutions Engineering capability, you will work closely with Data Engineers, Product Leaders, and Tech/ML Ops, as well as directly with key partners including Computational Scientists and Research Scientists. You will build robust and scalable systems that unlock the potential of diverse scientific data, accelerating the discovery and development of life-changing treatments.
Key Responsibilities
Technical Leadership: Provide strategic and tactical technical leadership for ongoing initiatives. Identify new opportunities with an eye for consolidation, deprecation, and building common solutions.
System Design: Responsible for technical excellence, ensuring solutions are innovative, best-in-class, and integrated by delivering data flows and pipelines across key domains like Research Biology, Drug Discovery, and Translational Medicine.
Architecture: Learn, deeply understand, and improve Data Workflows, Application Architecture, and Data Ecosystems by leveraging standard patterns (layered architecture, microservices, event-driven, multi-tenancy).
Collaboration: Understand and influence technical decisions around data workflows and application development while working collaboratively with key partners.
AI/ML Integration: Integrate diverse sets of data to power AI/ML and Natural Language Search, enabling downstream teams working on Workflows, Visualization, and Analytics. Facilitate the implementation of AI models.
Who You Are
Education: Bachelor's or Master's degree in Computer Science or similar technical field, or equivalent experience.
Experience:
7+ years of experience in software engineering (Principal Software Engineer level).
12+ years of experience (Sr. Principal Software Engineer level).
Full Stack Expertise: Deep experience in full-stack development is required. Strong skills in building Front Ends using JavaScript, React (or similar libraries) as well as Backends using high-level languages like Python or Java.
Data & Cloud: Extensive experience with Databases, Data Analytics (SQL/NoSQL, ETL, ELT), and APIs (REST, GraphQL). Extensive experience working on cloud-native architectures in public clouds (ideally AWS) is preferred.
Engineering Best Practices: Experience building data applications that are highly reliable, scalable, performant, secure, and robust. You adopt and champion Open Source, Cloud First, API First, and AI First approaches.
Communication: Outstanding communication skills, capable of articulating technical concepts clearly to diverse audiences, including executives and globally distributed technical teams.
Mentorship: Ability to provide technical mentorship to junior developers and foster professional growth.
Domain Knowledge (Preferred): Ideally, you are a full-stack engineer with domain knowledge in biology, chemistry, drug discovery, translational medicine, or a related scientific discipline.
Compensation & Benefits
Competitive salary range commensurate with experience (Principal and Senior Principal levels available).
Discretionary annual bonus based on individual and company performance.
Comprehensive benefits package.
Relocation benefits are available.
Work Arrangement
Onsite presence on the San Francisco Bay Area campus is expected at least 3 days a week.
Divisional Projects Engineer - CAPEX
Senior engineer job in San Francisco, CA
About the job
Pacific International is partnered with a rapidly growing industrial manufacturing organization undergoing significant investment in automation and large-scale capital projects.
The company is seeking a hands-on Divisional Projects Engineer to lead major engineering initiatives across multiple sites. This individual will own full project lifecycles from concept and design through installation, commissioning, and start-up. The ideal candidate is a detail-oriented engineer who enjoys being on the shop floor, collaborating with cross-functional teams, and driving operational improvements across a fast-paced manufacturing environment.
Responsibilities
Be a consistent on-site project presence, supporting installation, commissioning, and troubleshooting while coordinating with site teams, vendors, and engineering partners.
Own end-to-end project execution, including scoping, design reviews, scheduling, budgeting, and milestone management.
Travel across divisional facilities to oversee projects, conduct site assessments, and manage vendor FATs, verification testing, and equipment sign-offs.
Lead process improvement and efficiency initiatives across automated manufacturing lines to enhance productivity and throughput.
Develop and refine engineering designs, project plans, and documentation aligned with divisional standards.
Evaluate new technologies and machinery to improve capability, reliability, and long-term performance.
Partner with maintenance teams as a technical advisor to resolve recurring equipment issues and support preventive and predictive maintenance strategies.
Ensure safety, environmental, and regulatory compliance is built into every phase of project execution.
Communicate progress clearly across stakeholders to keep projects on track and aligned with business priorities.
Qualifications
4-8+ years of experience in manufacturing, engineering, maintenance, or quality roles.
Bachelor's degree in engineering required; master's preferred.
Proven ownership of capital or large-scale engineering projects from concept through completion.
Strong background working with automated or fast-moving manufacturing environments.
Comfortable with up to ~50% domestic travel to manage projects across multiple locations.
Skilled in project planning, budgeting, vendor management, and cross-functional coordination.
Hands-on, solutions-focused problem solver with strong communication and leadership skills.
Experience with ISO-driven environments and engineering documentation practices is beneficial.
Analytical, organized, and able to juggle multiple priorities while driving effective outcomes.
About Pacific International:
Pacific International, a globally recognized retained executive search firm, is dedicated to empowering Fortune 500, FTSE 100, and high-growth enterprises in building exceptional C-suite, senior-level, and strategic leadership teams while championing diversity and inclusion. Our adaptability, agility, and forward-thinking ethos distinguish us in the ever-evolving business landscape. Since 1997, we have been dedicated to building lasting client partnerships based on trust and reliability, and a proven track record of successful C-suite and mid- to senior-level leadership project delivery across many key industries globally.
Pacific International Diversity Statement:
At Pacific International, diversity, equity, and inclusion are at the core of who we are and what we do. Our commitment to these values is unwavering and we proudly champion diversity on behalf of our clients in every Executive Search mandate we undertake. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status, or other characteristics protected by law. In pursuit of these objectives, we actively encourage applications from individuals of all backgrounds and identities.
Questions? Email Olivia McCrossin - ******************************************
Distributed Systems Engineer
Senior engineer job in San Francisco, CA
San Francisco, CA (Onsite)
About the Company
A fast-moving AI research group is building the core video data infrastructure used by leading AI labs and major tech companies. The team is small at around fifteen people, nearly all engineers, and recently pivoted to focus exclusively on high-quality video data at massive scale.
The shift has driven significant revenue growth, and they are now planning to expand the team steadily over the next few months.
The culture is straightforward: engineering led, product focused, low ego, and built around people who enjoy ownership. They work in person five days a week in their San Francisco office, moving quickly, solving hard problems, and avoiding micromanagement.
The Role
This position focuses on designing and scaling distributed systems that support huge ML and ETL workloads across petabytes of video. You will own core infrastructure: compute scheduling, orchestration, throughput, reliability, cost efficiency, and the internal tooling that keeps the entire engineering group moving at pace.
The company is beginning to scale its infrastructure footprint aggressively, and this role will become central to that growth. It is a hands-on IC position suited to someone who has operated critical systems before and wants to shape the foundation of a rapidly expanding platform.
What You'll Work On
• Architect and scale distributed systems for large-scale ML and ETL workloads
• Build compute orchestration and scheduling across thousands of GPUs
• Improve uptime, resilience, and execution speed of high-volume data pipelines
• Design pipelines capable of handling petabyte-level video datasets
• Lead the development of CI/CD and internal tooling for fast iteration
• Partner closely with research engineers delivering new video models and algorithms
• Operate in a high-trust environment with strong autonomy and clear ownership
Requirements
• 3+ years building foundational distributed systems or data infrastructure
• Experience running critical systems at significant scale
• Proficient across cloud architectures
• Strong coding experience with Go (preferred) and Python
• Background building or maintaining large-scale pipelines
• Experience with ML-focused CI/CD and automation
• Video domain experience is not required
• Operates as a strong IC who leads through action
• Fully onsite in San Francisco, Monday to Friday
Culture Fit
• Enjoys ambiguity, problem discovery, and self-direction
• Communicates clearly and concisely
• Shows strong intellectual curiosity
• Low ego, collaborative mindset
• Motivated by building core systems in a small, high-caliber team
Red flags include weak communication, low curiosity, or unclear motivation for the domain.
Interview Process
Intro call focused on culture, curiosity, and communication
Technical discussion on background and complexity of past work
Problem-solving session with a research engineer
Onsite research problem and collaboration exercise
Senior Software Engineer
Senior engineer job in San Francisco, CA
Founding Engineer
On-Site
San Francisco, CA
$170,000 - $200,000
About:
We are seeking versatile Sr Software Engineers who specialize across disciplines - Machine Learning, Data Engineering, and Full-Stack Development. The ideal candidate is willing to get their hands dirty, push boundries, and driven by a need to succeed.
You will be ready to work diligently and build rapidly to win the market. You should be prepared to challenge existing concepts and develop alternative solutions.
Job Summary:
You'll operate at the cutting edge of LLMs, computer vision, and data engineering to automate compliance in precision-focused industries. You'll also collaborat with major global industrial partners. Your work will help build a product that leading organizations will depend on to prevent accidents, protect lives, and transform the way they run their operations.
Who You Are:
Able to make decisions quickly.
Proactive.
Comfortable with TypeScript, Python, Docker, LLMs, YOLO, Tesseract, PostgreSQL, AWS, and React Native.
Have a history of building products that have been used.
Thrive under pressure and within an unstructured environment.
What You'll Do:
Speak with users and gather their needs, experiences, and problems.
Architect systems that will be used daily by others at billion-dollar companies.
Build agent-swarm data pipelines that will autonomously audit.
Maintain and scale infrastructure.
Produce quickly without the fear of perfection.
Work directly with the founding team and customers.
Test Engineer
Senior engineer job in San Francisco, CA
Work with a client's test engineering team to create test plans for components. This includes creating test cases, executing manual tests, and finding and reporting bugs.
General Skills: Camera & Photography Testing, Black Box Testing, Cross Browser/Cross Platform Testing, Documentation Testing, Exploratory Testing, Functional Testing, Integration Testing, Regression Testing, User Acceptance Testing (UAT), System Testing, Manual Testing, Transformation - Test Case Optimization & Enrichment.
* Specialized Skills : Back-end Testing, Carrier Testing, Compatibility Testing, Compliance Testing, Accessibility Testing, API/Services Testing, Device Testing, Globalization/Localization/Language Testing, Mobile App Testing.
Key Qualifications :
* Proficiency in working on Unix/Linux or Windows (admin level).
* Good analytical skills.
* Excellent communication skills, both verbal and written.
* Working knowledge in creating, reviewing, and updating test scripts.