Test engineer jobs in Salinas, CA

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers. This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. You can learn more about Neuron ***************************************************************************************** *********************************************** ************************************* ********************************************************************************************* Key job responsibilities This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: * Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators. * Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment. * Build infrastructure to systematically analyze and onboard multiple models with diverse architecture. * Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models * Analyze and optimize system-level performance across multiple generations of Neuron hardware * Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks * Implement optimizations such as fusion, sharding, tiling, and scheduling * Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines. * Work directly with customers to enable and optimize their ML models on AWS accelerators * Collaborate across teams to develop innovative optimization techniques A day in the life You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you're always working on the most important initiative. About the team The Inference Enablement and Acceleration team fosters a builder's culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today. BASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent - 5+ years of non-internship professional software development experience - 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution. - Software development experience in C++, Python (experience in at least one language is required). - Strong understanding of system performance, memory management, and parallel computing principles. - Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems. PREFERRED QUALIFICATIONS- Familiarity with PyTorch, JIT compilation, and AOT tracing. - Familiarity with CUDA kernels or equivalent ML or low-level kernels - Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited. - Familiar with syntax and tile-level semantics similar to Triton. - Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments. - Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing. 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. 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 $129,300/year in our lowest geographic market up to $223,600/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.

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.

Akkodis is seeking a - “Test Engineer I” for a Contract position with a client located Cupertino, CA. Pay Range: $40-$45/hr. (The rate/salary may be negotiable based on experience, education, geographic location, and other factors.). Job Summary The Video Engineering Image Quality (VEIQ) team is responsible for delivering world-class video quality across iPhone, iPad, Mac, and Vision Pro. We are seeking a highly skilled Camera Video Quality Engineer with strong experience in lab-based test automation and real-world video quality evaluation. In this role, you will help ensure our products deliver the best camera video experience in the world. Description In this position, you will conduct both laboratory and real-world video quality testing on iPhone and iPad, while benchmarking performance against competitive devices. You will play a key role on a fast-paced, collaborative team that thrives in a high-energy, dynamic environment. Your contributions will directly impact video quality across Apple products. Responsibilities include: Developing and executing camera video quality test models Capturing real-world video content for quality verification Identifying image quality (IQ) issues and performing initial analysis and triage Participating in IQ evaluations for new features and algorithms, providing actionable feedback to engineering teams Analyzing, reproducing, and isolating video quality issues across lab and real-world environments Minimum Qualifications BS in Image Science, Color Science, CS/CE/EE, or equivalent experience Experience with subjective and objective image quality evaluation Understanding of ISP pipelines and 3A (AE/AF/AWB) evaluation Strong attention to detail, analytical skills, and problem-solving abilities Ability to stay current on camera benchmarking results and testing methodologies Excellent written and verbal communication skills with a proven ability to collaborate cross-functionally Preferred Qualifications Proficiency in coding languages such as Python or C/C++ Strong video photography skills Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit ***************************************** The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance

for Cellular Field Testing Cellular Field Tester Must Have Skills: 1. 3-4 years of experience in smartphone field testing 2. Excellent understanding of 3GPP specs for 3G/4G/5G NR technologies 3. Hands on experience of Android and Apple products like smartphones and smart watches. 4. Worked for carrier certification for USA operator (viz. Verizon, AT&T & T-Mobile) 5. Log analysis & debugging UE issues. 6. User Equipment Testing Job Description: 1. Expertise on 3GPP specs for 3G/4G/5G NR technologies 2. 3. Experienced Field Testing - inclusive of issue investigation and representation 4. Experience of 3-4 years into Mobile device testing 5. Perform testing and sending daily report to client 6. Aware of logging tools like QxDM, QCAT, XCAP, Wireshark, STT, ELT etc. 7. Basic Understanding of RF Concepts as added advantage. 8. Python or any scripting knowledge as added advantage.

Software Engineer - AI Infra Startup - San Francisco, CA A small, deeply technical AI infra startup in San Francisco, building the platform that next-gen AI apps will run on - think custom compilers, CUDA kernels, and distributed orchestration are looking for a Software Engineer to join their team. What will I be doing? As a Software Engineer you'll help architect and build the infrastructure powering the next generation of AI systems. You'll work across the stack on: High-performance, distributed systems that support real-time AI workloads Kubernetes orchestration, infra tooling, and automation pipelines Low-level runtime components like custom compilers and CUDA kernels Scalable, reliable backend services Collaborating directly with the founding team on technical strategy and core architecture What are we looking for? Strong background in systems programming, backend, or infra engineering Experience with distributed systems, container orchestration, and Linux internals Comfortable working across multiple layers of the stack, from low-level code to infra ops Fast learner who thrives in ambiguous, high-agency environments Bonus: Experience with compilers, CUDA, or ML infrastructure What's in it for me: up to $300k base dependent on experience + 0.2-0.5% equity Work directly with deeply technical founders (ex-Stanford, Google, and more) on some of the hardest problems in AI infra On-site in San Francisco Stealth startup with serious backing, operating lean and hiring intentionally Apply now for immediate consideration!

A pioneering and well-funded AI company is seeking a talented Python Backend Engineer to build the core infrastructure for its revolutionary autonomous systems. This is a unique opportunity to join an innovative team at the forefront of engineering and artificial intelligence, creating a new category of software that will redefine how complex products in sectors like aerospace, automotive, and advanced manufacturing are designed and developed. Why Join? Build the Future of Engineering: This isn't just another backend role. Your work will directly shape how next-generation rockets, cars, and aircraft are designed, fundamentally changing the engineering landscape. Solve Unprecedented Technical Puzzles: Tackle unique challenges in building the infrastructure for autonomous AI agents, including simulation orchestration, multi-agent coordination, and scalable model serving. Shape a Foundational Platform: As a critical member of a pioneering team, you will have a significant impact on the technical direction and core architecture of an entirely new category of software. Join a High-Impact Team: Work in a collaborative, fast-paced environment where your expertise is valued, and you have end-to-end ownership of critical systems. Compensation & Location: Base salary of up to $210,000 + equity + benefits, while working on-site with the team in a modern office in downtown San Francisco. The Role As a Python Backend Engineer, you will be instrumental in constructing the infrastructure that underpins these autonomous engineering agents. Your responsibilities will span model serving, simulation orchestration, multi-agent coordination, and the development of robust, developer-facing APIs. This position is critical for delivering the fast, reliable, and scalable systems that professional engineers will trust and depend on in high-stakes production environments. You will: Own and build the core backend infrastructure for the autonomous AI agents, focusing on scalability, model serving, and multi-agent orchestration. Design and maintain robust APIs while integrating essential third-party tools like CAD software and simulation backends into the core platform. Develop backend services to process and serve complex 3D visualizations from simulation and geometric data. Collaborate across ML, frontend, and simulation teams to shape the product and engage directly with early customers to drive infrastructure needs. Make foundational architectural decisions that will define the technical future and scalability of the entire platform. The Essential Requirements Strong backend software engineering experience, with a primary focus on Python. Proven experience in designing, building, and maintaining production-level APIs (FastAPI preferred but Flask and Django also considered). Experience with 3D visualization libraries or tools such as PyVista, ParaView, or VTK. Excellent systems-thinking skills and the ability to reason about the interactions between compute, data, and models. Experience working in fast-paced environments where end-to-end ownership and proactivity are essential. Exceptional communication and collaboration abilities. What Will Make You Stand Out Experience integrating with scientific or engineering software (such as CAD, FEA, or CFD tools). Exposure to agent frameworks, workflow orchestration engines, or distributed systems. Familiarity with model serving frameworks (e.g., TorchServe, Triton) or simulation backends. Previous experience building developer-focused tools or working in high-trust, customer-facing technical roles. If you are interested in this role, please apply with your resume through this site. SEO Keywords for Search Python Backend Engineer, Python Software Engineer, Backend Engineer, Software Engineer, Python Developer, AI Engineer, Machine Learning Infrastructure, MLOps Engineer, Backend Software Engineer (Python), Senior Backend Engineer, AI/ML Engineer, Infrastructure Engineer, FastAPI Developer, PyVista, ParaView, VTK, 3D Visualization, Docker, Kubernetes, Cloud Engineer, AI Platform Engineer, Distributed Systems Engineer, Simulation Software Engineer, CAD Integration, CFD, FEA, Scientific Computing, High-Performance Computing (HPC), Agent Frameworks, Workflow Orchestration, Technical Lead, Staff Engineer. Disclaimer Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.

Robotics Software Engineer (Generalist/Full-Stack) Robotic Software Engineer - Humanoid Robotics Palo Alto, SF Bay Area (Full-time | Onsite) $180k-$200k + equity (flexible for exceptional candidates) We are recruiting building next-generation humanoid robotic systems that combine advanced AI with cutting-edge hardware. Our team moves fast, prototypes aggressively, and puts real robots into the world. We're now hiring a Robotic Software Engineer to help shape our core software stack and accelerate the development of our embodied AI systems. What You'll Work On As part of a small, high-impact engineering team, you will: Build and optimise robotics software in C++ and ROS2 Integrate perception, control, planning, and learning modules Work hands-on with robots to bring up new hardware and run real-world experiments Deploy reinforcement learning / imitation learning policies onto physical robots Develop middleware, interfaces, and tooling that connect AI → hardware Prototype behaviours across diverse robot types (arms, humanoids, mobile platforms, drones) This role directly supports both our AI and hardware teams and has significant ownership from day one. Must-haves: Strong C++ development skills (multi-threading, performance, systems-level) Professional experience with ROS2 Hands-on robotics experience - ideally robot learning on physical hardware Ability to work on real robots (debugging, integration, testing) Generalist mindset and comfort in a fast-paced startup environment Nice-to-haves: Manipulation or kinematics (humanoids, arms, quadrupeds) Controls for mobile robots or drones Sensor/actuator integration, drivers, or middleware experience VR prototyping (Meta Quest or similar) Experience across different robot embodiments Why Join Us Build software that runs on real humanoid robots immediately High ownership within a small, world-class engineering team Competitive compensation + meaningful equity Opportunity to influence architecture, roadmap, and product direction Work at one of the most exciting intersections in tech: AI × robotics

Senior Software Engineer - Product 📍 San Francisco, CA (In-Person, 5 Days/Week) 💰 $200K-$320K base + 0.1-0.3% equity About the Role: We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows. As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0→1 MVP development and the 1→10 scaling phase - building high-impact features that help brokers serve customers faster and better. This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience. What You'll Do Develop end-to-end product features across both frontend and backend layers Write clean, maintainable, well-tested TypeScript (Python a plus) Debug and optimize across the full stack for performance and reliability Balance user needs, technical trade-offs, and business goals when prioritizing features Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products Iterate quickly and ship frequently - moving from prototype to production fast Own product outcomes: from gathering feedback to delivering impactful releases What We're Looking For 4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E) Strong proficiency in TypeScript; experience with Python is a plus Proven track record of shipping user-centric, scalable products Excellent collaboration and communication skills across teams Product-minded, you care about user experience as much as clean code Comfortable with ambiguity and thrive in fast-paced environments Willing to work on-site in San Francisco, 5 days per week

Founding Engineer $140K - $200K + equity San Francisco (Onsite Role) Direct Hire A fast growing early-stage start who recently secured a significant amount at Seed is actively hiring 3x software engineers to join their founding team. They're looking for people who are scrappy, move fast, challenge assumptions, and are driven to win. They build quickly and expect teammates to push boundaries. Who You Are Make quick, reversible (“two-way door”) decisions Proactively fix problems before being asked Comfortable working across a modern engineering stack (e.g., TypeScript, Python, containerisation, ML/LLM tooling, databases, cloud environments, mobile frameworks) Have built real, shipped products Thrive in ambiguity and fast-moving environments What You'll Do Talk directly with users to understand their workflows, pain points, and needs Architect systems that support large enterprise usage Build automated pipelines and intelligent agents that process and verify large volumes of data Maintain scalable, robust infrastructure Ship quickly - progress over perfection The Reality You'll work closely with the founding team and directly with customers User value beats hype, trends, and “cool tech” Expect a demanding, high-output culture If you're a Software Engineer with 2 + years' experience and want to work in a growing start-up, please do apply now for immediate consideration.

We are seeking an experienced Electrical Engineer to lead Signal Integrity (SI) and Power Integrity (PI) efforts for semiconductor test systems. In this role, you will design, test, and evaluate electrical, optical, and thermal systems, including semiconductors, photonics, and embedded devices. You will conduct feasibility studies, develop prototypes, and manage independent design projects while collaborating with internal teams, partners, and suppliers. Additional responsibilities include supporting product development, mentoring junior engineers, and providing guidance on field issues. Required Skills & Experience Education & Experience • BS in Electrical Engineering (MS preferred) • BS + 5 years or MS + 4 years relevant experience Technical Expertise • High-speed signal and power integrity design at PCB, package, or system level • Simulation tools: ADS, HFSS, CST • S-parameter modeling and simulations • High-speed SERDES (Tx/Rx equalization) • High-speed data communications (eye diagrams, BER testing) • SI/PI knowledge at PCB or package level Nice to Have Skills & Experience • MS in Electrical Engineering. • Experience with photonics and optical signaling • Experience with designing, certifying, and deploying semiconductor capital equipment. • Ability to work in cross-functional teams building complex test systems. • Intermediate software skills, including experiment instrumentation and execution (meters, power supplies). • Ability to read, write, and speak Japanese.

We are actively searching for a Founding Protocol Engineer to join our team on a permanent basis. In this position you will If you are someone that is impressed with what Hyperliquid has accomplished then this role is for you. We are on a mission to build next generation lending and debt protocols. We are open to both Senior level and Architect level candidates for this role. Your Rhythm: Drive the architecture, technical design, and implementation of our lending protocol. Collaborate closely with researchers to validate and test designs Collaborate with auditors and security engineers to ensure safety of the protocol Participate in code reviews, providing constructive feedback and ensuring adherence to established coding standards and best practices Your Vibe: 5+ years of professional software Engineering experience 3+ years of experience working in Solidity in EVM in production environments, specifically focused in DeFi products 2+ years of experience working with a modern backend languages (Go, Rust, Python, etc) in distributed architectures Experience building lending protocols in a smart contract language Open to collaborating onsite a few days a week at our downtown SF office Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

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.

Software Engineer, C++ Systems About the Role We're seeking a highly skilled Software Engineer (C++ Systems) to join our client's team and help build the core of our GPU virtualization platform. This role is ideal for engineers who thrive on microsecond-level performance optimization, enjoy working deep in complex C++ systems, and are motivated by building foundational infrastructure that directly impacts customers. You'll play a critical role in scaling our platform as we serve a rapidly growing customer base, owning production systems from day one and tackling technically demanding challenges at the forefront of GPU infrastructure. What You'll Do Optimize performance of our C++ GPU virtualization library at the systems level Research and develop solutions for GPU oversubscription, checkpointing, and distributed GPU clusters Support new hardware and software architectures with a deep, end-to-end understanding of the stack Debug low-level systems in production environments Diagnose and resolve performance issues in machine learning workloads Collaborate closely with the CTO on advanced systems design and implementation Required Experience Proven experience building and operating low-level systems in production environments Background working with compilers, kernels, or networking protocols Demonstrated ability to trace and resolve performance issues across complex systems Technical Skills Expert-level C++ proficiency (Rust experience is acceptable, though primary development will be in C++) Experience optimizing C++ and NIC performance Strong systems-level debugging and performance analysis skills Education Degree in Computer Science or a related field from a top-tier program Strong academic performance (3.7+ GPA) Soft Skills Ability to deliver high-quality output quickly in an early-stage startup environment Comfortable taking full ownership of critical production systems Thrives in ambiguous, high-impact problem spaces Company & Opportunity Building GPU virtualization software that dramatically improves GPU efficiency Operating a fast-growing GPU cloud, scaling from $0 to $500K in revenue in just six months Backed by Y Combinator and a recently closed $4.5M Seed round Join as employee #5 at a pivotal moment: product-market fit validated and scaling rapidly Work directly with the CTO on systems challenges few startups get to tackle This is a hardcore C++ systems role focused on GPU virtualization, performance tuning, production debugging, and advanced research Expect ownership, impact, and problems that demand top 0.1% technical skill Why This Role If you love squeezing performance out of low-level systems, enjoy working at the intersection of GPUs, distributed systems, and production infrastructure, and want to help scale a breakthrough platform at an early stage, this role offers a rare and exciting opportunity.

🚀 Senior Engineer (Backend) - Define the Future of AI-Driven Research 💡 We're looking for a Senior Backend Engineer (Python) to join a groundbreaking, Series A-funded AI research platform that is currently defining a new category in the market. This company is experiencing explosive growth, having doubled its revenue in the last four months and is on track to more than double again by the end of the year. They are moving fast and need technical leaders who thrive in an ambiguous, high-impact environment. Key Role Details Job Title: Senior Engineer, Backend Location: Downtown San Francisco (In-Office 4-5 days a week) Compensation: $160,000 - $220,000 Salary Equity: Generous Hiring Goal: 3 Backend Engineers Your Impact & Responsibilities This role offers exceptional ownership and requires you to operate with a high degree of autonomy. You will be expected to essentially act as your own Product Manager (PM), driving projects from concept to completion and shipping features constantly. Core Engineering: Utilize your expertise in Python and Django to build and scale the core research platform. This is a product engineering opportunity. LLM/AI Innovation: Pushing the boundaries of what is possible by working on Research & Development (R&D) and building net new functionality using Large Language Models (LLMs) Product Focus: Directly contribute to the platform's core offering: an AI moderator that conducts qualitative interviews for user research teams at major enterprise companies. The Ideal Candidate Profile The client is looking for experienced engineers who are comfortable operating without a prescriptive process. Experience: 3+ years of professional experience, as well as extensive knowledge of Python/Django and SQL databases (Postgres preferred). Experience deploying and managing services on AWS and familiarity with WebRTC, real- time data streaming, or AI/ML infrastructure is highly beneficial. Background Preference: Candidates with previous experience at a startup or smaller company (Series D and under) are strongly preferred. Work-Life Balance: This is not a "996" company. The expectation is intense work during the day, with a commitment to a healthy balance. Career Trajectory: The team is committed to aggressive career growth and promoting from within. Engineers joining now are expected to quickly move into technical or people leadership roles. Important Notes: Visa Sponsorship: The company does not sponsor visas. Relocation: They are open to relocation and can assist candidates moving to San Francisco.

As a software engineer at General Medicine, you'll help build and scale a healthcare store that makes it delightfully simple to shop for any type of care. We provide upfront cash and insurance prices for virtual and in-person visits, prescriptions, labs, imaging, and more. What we're looking for We're looking for strong engineers to help us build a seamless and beautiful consumer healthcare product. We're looking for folks who will obsess over every detail of our patient experience, and also tackle the complex operational challenges of delivering care at scale. We are looking for engineers who care deeply about technical excellence but are also comfortable moving quickly - we are constantly navigating tradeoffs between engineering velocity and quality. Our ideal candidate is hungry, high-agency, and aspires to be a generalist. Our engineers frequently write product requirements documents, write SQL to understand how features are performing, and own QA - no task is beneath us or outside of the scope of the role if it helps us to deliver a great product. We're looking for someone who can operate in an environment of significant ambiguity, and who is comfortable working closely with design, operations, and clinical stakeholders. We don't expect you to have a healthcare background (though it's great if you do!). However, you should be excited by the prospect of digging into the messy complexities of the American healthcare system (integrating with EHRs, revenue cycle management, etc). Qualifications 2+ years of experience building web apps as a full-stack engineer Experience with modern infra tooling and programming languages. We currently use AWS, Ruby on Rails, and NextJS, and would expect you to have proficiency in a modern tech stack even if it isn't the one we are using. Please note that this role is based in either our SF office (near Market and Spear St) or our Boston office (Central Square, Cambridge). We expect our team to work from the office least 3 days per week. Why join us We're an experienced team that has built a company in this space before, our product has clear product-market fit, and we've raised money from top investors. We have an ambitious and distinctive vision for what can be built in consumer healthcare. We believe LLMs and price transparency legislation have opened up several massive opportunities. If you're an ambitious and entrepreneurial software engineer and this resonates, please apply.

Senior Software Engineer Experience Level: Senior (7+ years) About the Role We're looking for a Senior Software Engineer who thrives on turning conversations into actionable, user-focused solutions. You'll work closely with stakeholders to deeply understand problems, identify root causes, and deliver thoughtful, high-quality software that stands the test of time. Requirements 7+ years of experience designing, implementing, and testing software. Strong fluency in core software design principles. Experience with test-driven development (TDD). Familiarity with service-oriented architecture and distributed system fundamentals. Excellent ability to communicate technical concepts clearly to both technical and non-technical audiences. Bonus points for experience with Microservices, Pub/Sub, Event Sourcing, Eventide, and Message DB. Technologies We Use Languages & Frameworks: Ruby on Rails Event-Driven Tools: Eventide, Message DB Databases: PostgreSQL Infrastructure: Kubernetes, Terraform Cloud: Azure

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

🚀 Software Engineer - AI & Full Stack (San Francisco, CA) 💼 Full-Time | 🧠 1-4+ Years Experience | 💰 $150,000- 210,000 We're building self-improving software - AI that continuously creates, tests, and enhances digital experiences. Backed by Y Combinator, Gradient, and leaders from OpenAI, Uber, and Meta, we've raised $5M+ and are scaling fast. If you love building things that think for themselves , this is your chance to help shape the next wave of intelligent software. 🧩 What You'll Do Build an AI-powered paywall editor serving millions of users every day. Work across the stack - Next.js frontend + Python backend - integrating the latest AI models & APIs. Ship fast: design → code → test → deploy → learn → repeat. Collaborate directly with founders, engineers, and customers to deliver exceptional user experiences. ⚡ What We're Looking For Strong problem-solving and full-stack skills (Python, React, TypeScript). Experience building user-facing products that people love. Excellent communication and a bias for action. Ownership mindset - you ship things that matter. Startup experience = BONUS BSc CompSc degree preferred 💡 Bonus Points Experience with AI/LLM integrations. Startup or founder-level experience. Mobile skills (Swift, Flutter, React Native). 🧠 Tech Stack Next.js (React/TypeScript), Zustand, Tailwind, Shadcn, Python, Supabase, Fly.io, Swift, Flutter, Expo 📍 In-person role - San Francisco (Mon-Sat) U.S. work authorization required (O-1 visa sponsorship possible). If you're ready to build AI that builds software, we'd love to hear from you. 👉 Apply now and help us invent the future of intelligent systems.

We are actively searching for a Distributed Systems Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Our office is located in downtown SF and we collaborate two days a week onsite. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 3+ years of professional distributed database systems experience Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Available to collaborate onsite 2 days a week Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!