Lead engineer jobs in San Rafael, CA

We are seeking a detail-oriented and proactive Testing Engineer I to join our Quality Engineering team. In this role, you will collaborate with clients' test engineering teams to design test plans, develop test cases, execute manual tests, and identify/report defects. The ideal candidate should have strong analytical skills, excellent communication abilities, and a passion for delivering high-quality products. Key Responsibilities Collaborate with client test engineering teams to: Develop comprehensive test plans for various components. Create detailed and accurate test cases. Execute manual testing across multiple platforms and environments. Identify, document, and report bugs/defects using standard tools. Perform a wide range of testing activities, including: Camera & Photography Testing Back-end Testing Black Box Testing Carrier Testing Cross-Browser / Cross-Platform Testing Compatibility Testing Documentation Testing Compliance Testing Exploratory Testing Accessibility Testing Functional Testing API / Services Testing Integration Testing Device Testing Regression Testing Globalization / Localization / Language Testing User Acceptance Testing (UAT) Mobile Application Testing System Testing Manual Testing Analyze customer scenarios to ensure comprehensive test coverage. Maintain accurate test documentation, logs, and reports. Collaborate with developers, product managers, and stakeholders during defect triage and issue resolution. Requirements 0-2 years of experience in Software Testing or Quality Assurance. Hands-on experience working with Unix/Linux or Windows environments. Strong understanding of manual testing concepts, test design, and bug reporting. Working knowledge of test automation tools (Selenium, Appium, or similar) is an added advantage. Excellent analytical skills with the ability to think through customer usage scenarios. Strong written and verbal communication skills. Detail-oriented, organized, and able to work in a fast-paced environment. Preferred Skills (Nice to Have) Basic scripting skills (Python, Shell, JavaScript, or similar). Familiarity with API testing tools such as Postman or Swagger. Exposure to automation frameworks or CI/CD pipelines.

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

Our client is building the world's fastest-growing marketplace for elite creative talent. We connect award-winning artists, directors, musicians, animators, and designers with frontier AI labs developing the next generation of multimodal systems including models like Sora, Suno, Runway, and Grok Imagine. This role is paying up to $300k salary base with 2% equity in top. Must have AI/LLM/Multimodal experience. Fully onsite role. We are a small, high-talent-density team from Stanford and Mercor, backed by: The Co-Founder of xAI The Founder of Periodic Labs Researchers from OpenAI's Sora team DeepMind alignment & evaluation leads Senior researchers from Salesforce AI, Meta, Google, and Anthropic Role Overview As a Founding Engineer, you will own core product surfaces, architecture, and infrastructure for the platform. You'll help shape engineering culture, drive rapid product iteration, and work directly with founders to build the marketplace and data systems powering the next wave of multimodal AI innovation. This role is ideal for someone who thrives in high-agency environments, ships quickly, and enjoys solving end-to-end problems across the stack. What You Will Build Marketplace & Talent Systems Onboarding flows for elite creative talent AI-assisted interviews and evaluations Self-serve matching tools between talent and AI labs Payment, billing, and workflow automation Data & Infrastructure Products Tools for frontier AI labs to support training and evaluation Internal platforms for data quality, annotation, and performance insights Product & Engineering Leadership Shape engineering culture, processes, and best practices Ship fast across greenfield projects with high ownership Influence product direction through tight feedback cycles with founders and users What We're Looking For Strong proficiency with Python, React, and TypeScript Experience with AWS, Docker, CI/CD, and modern infrastructure tooling Ability to operate independently and handle ambiguity in a fast-moving environment Interest in gamified platforms, creative tools, or marketplace dynamics Bias for action, strong communication skills, and a builder mentality

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!

Software Engineer - Perception | San Francisco - Onsite EVONA is partnering with a pioneering aerospace company developing a new generation of autonomous spacecraft systems. Their mission is to build advanced autonomy and perception pipelines that allow satellites to detect, classify, and understand objects in orbit in real time. This is a rare opportunity to join as one of the first US software hires, giving you direct impact on a high-profile space program while shaping the growth of the US software team. What You'll Do Develop and optimise computer vision & ML algorithms for real-time object detection and characterisation Integrate perception models into onboard flight computers and autonomy pipelines Build sensor models, digital twins, and simulation tools for training and validation Collaborate with international engineering teams while helping expand the US presence Contribute across a small, fast-moving team tackling complex, mission-critical challenges What We're Looking For Strong software engineering skills in C++ and Python Must of worked on Real Time Operating Systems (RTOS) Experience with computer vision, ML frameworks (PyTorch, TensorFlow), and CUDA acceleration Background in real-time/embedded systems, edge computing, or robotics Hands-on experience with perception systems in autonomy, drones, robotics, AR/VR, or self-driving vehicles Minimum 2 years' experience (open to junior through senior levels) Space industry experience not required - we're seeking autonomy and perception engineers who thrive on solving complex, real-world problems Why Join Impact: Apply your autonomy expertise to one of the most exciting frontiers of engineering Ownership: Join as one of the first 3 US hires, shaping both technology and team direction Growth: Help build a US team that will scale significantly in the next phase Compensation & Benefits: $170,000 - $250,000+ depending on level Equity participation Full medical, dental, and vision coverage 401(k) with company match Flexible PTO and paid leave Location & Requirements San Francisco Must be US Citizen, Green Card holder, or ITAR-eligible For more information, contact Ciara Holmes at EVONA or apply now to take your autonomy career to the next frontier.

About Us Every patient deserves fast access to life-changing medications. We're building the AI operating system that makes it happen, automating the phone calls, texts, data entry, and complex workflows that slow pharmacies down. We're backed by Gradient Ventures (Google's AI fund) with more demand than we can handle. Why we need you We're building AI-powered systems that handle real patient communication and pharmacy workflows. As an engineer, you'll work directly with our founding team to ship features end-to-end-from LLM-powered voice and text systems to integrations with pharmacy platforms. This is a hands-on, full-stack role where you'll own technical decisions that shape how our product scales. What you'll do Build and ship AI-powered voice, text, and workflow automation systems Own features end-to-end: design, implementation, deployment Create integrations with pharmacy and patient management systems Solve hard problems: LLM optimization, reliable systems on unreliable APIs, abstractions that speed up customer implementations Establish engineering patterns as we scale Must-have experience 4+ years of software engineering experience Solid programming fundamentals; Python experience a plus Hands-on experience with AI tools, APIs, or prompt engineering Track record of owning projects, not just implementing specs Nice-to-haves Experience at early-stage startups Background building LLM-powered applications Familiarity with voice/telephony systems Event driven architectures Location: Hybrid in Palo Alto (Mon/Wed/Thurs) Compensation: $175k - $250K + generous equity, full benefits, flexible PTO

Do you want to play a defining role in a well backed AI company building the next generation of intelligent agents? Compensation: $220k - $240k Employment Type: Full time Model: Hybrid (days on site, 3 days remote) This company is building AI agents that automate complex, manual workflows across one of the largest and most operationally complex industries in the world. What started with voice, the hardest and highest impact interface, is rapidly expanding into full end-to-end workflow automation across sales, servicing, and claims. The long term vision is to create reasoning agents capable of operating autonomously across entire enterprise systems. With over $70M raised, including a recent large Series B led by top tier venture firms, the company is entering a phase of rapid scale. Engineering is the core of the business, and technical decisions made today will define how intelligent systems operate in real production environments for years to come. The Opportunity: As a Staff Software Engineer, you will be a senior technical leader responsible for shaping foundational systems that power AI-driven products at scale. This role goes far beyond feature delivery. You will own architectural direction, influence platform strategy, and build systems that enable reliable, observable, high-performance AI agents in a regulated, mission-critical environment. You will work with an elite group of engineers, researchers, and product leaders who value strong technical judgment, clear communication, and high ownership. This is a role for someone who thrives in ambiguity, enjoys solving hard infrastructure problems, and wants to see their work have immediate, real world impact. What You Will Do: Define and drive the technical vision for core platforms and domains, including architecture, infrastructure, tooling, and performance Design, build, and operate scalable backend systems that leverage foundational LLMs and asynchronous workflows Lead architectural decisions and trade-offs, balancing speed of iteration with long-term reliability and maintainability Partner closely with product, data science, and infrastructure teams to translate business strategy into durable technical roadmaps Serve as a technical mentor through design reviews, code reviews, and hands-on guidance, raising the bar for engineering excellence Own operational excellence across the stack, including debugging complex issues, participating in on-call, and leading post-mortems Define, measure, and improve reliability metrics such as SLAs, SLOs, and SLIs Identify technical debt and drive initiatives that improve system quality, performance, and developer velocity Introduce new technologies and processes that materially improve how teams build and ship software Represent the engineering organization externally when appropriate through technical talks, open source, or partner engagement What We're Looking For: 8+ years of experience building and operating high-quality production software, with strong depth in Python Demonstrated experience architecting asynchronous, distributed, high-throughput systems in production Strong expertise with Python frameworks such as FastAPI, Django, and asyncio or equivalent Proficiency with Node.js, React, TypeScript, and Express, with sound judgment on when to use each stack Deep knowledge of SQL and experience with distributed messaging and streaming systems such as Kafka, SQS, SNS, or RabbitMQ Solid cloud experience with AWS, GCP, or Azure, including infrastructure as code, CI/CD, and observability Ability to navigate ambiguity, make principled trade-offs, and lead without formal authority Experience working in remote, asynchronous, distributed teams with strong written and verbal communication skills Curiosity and enthusiasm for emerging technologies and their real-world applications Nice to Haves: Hands-on experience working with large language models and techniques to improve reliability, latency, and cost efficiency Experience in regulated or compliance-heavy industries such as insurance, finance, or healthcare Background in high-growth startup environments where systems and teams scaled rapidly Proven track record of mentoring senior and mid-level engineers Public technical contributions through open source, talks, or publications Why This Role: Strong funding, long runway, and clear momentum toward category leadership Ownership over foundational systems that define how autonomous AI agents operate in production High autonomy and trust with direct influence on long-term technical direction A collaborative, high caliber engineering culture that values rigor, learning, and impact The opportunity to help define a new category of applied AI systems used by real customers at scale If you are excited by the chance to shape the core architecture of an AI platform operating in the real world, this role offers both the scope and the ownership to make a lasting impact.

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

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

Tranzeal is an industry leading global Business Transformation Service Provider offering specific consulting services as well as prepackaged, industry specific solutions and services to companies around the world. Our Consulting Services are dedicated to helping our clients maximize their investments in IT and the overall effectiveness and efficiency of the business. Tranzeal s deep industry experience makes us the partner of choice for a growing number of Fortune 1000 companies, midsize enterprises and small businesses worldwide. We are currently looking for 'Senior Software Engineer (Quadient Inspire)' to support one of our clients with the following skills: Requirement: Job Title: Senior Software Engineer (Quadient Inspire) Location: Alpharetta, GA (Local candidates only) Other Accepted Locations: Rancho Cordova, CA | Oakland / San Francisco, CA Duration: 12 Months Contract to Hire Work Authorization: W2 Only Bill Rate: DOE Job Description We are seeking a Senior Software Engineer with strong hands-on experience in the Quadient Inspire Platform to design, develop, and implement customer communication workflows. The ideal candidate will have solid API development experience and the ability to build secure, scalable solutions aligned with enterprise architecture standards. This is a Contract-to-Hire role. Candidates must be local to one of the listed client locations. Fully remote-only candidates may not be considered. Key Responsibilities Design, develop, test, and implement customer communication workflows using Quadient Inspire Build and integrate secure, scalable APIs following architectural guidelines Collaborate with internal and external stakeholders on input/output requirements and system usage Support strategic planning, quality assurance, and compliance with internal controls Assist in troubleshooting and resolving workflow and integration issues Required Technical Skills Quadient Inspire Platform: Designer, Scaler, Content Manager, Automation, Interactive, Approve Workflow API Technologies: REST, SOAP, and other API protocols Programming Languages: Java, JavaScript, Shell Scripting Databases: SQL Version Control: GitHub Experience & Education 5+ years of software engineering experience Bachelor s degree required Master s degree preferred Preferred Skills Experience with Customer Communications Management (CCM) platforms Exposure to Precisely EngageOne platform Engagement & Compliance Details W2 consultants only W2 consultants from a consulting firm on C2C are also workable Sponsorship requirement must be disclosed upfront Candidates must be eligible for conversion to full-time employment Interested candidates or suppliers: Please share resumes with full details to sureshs(at)tranzeal(dot)(com) The national base pay range below is a good-faith estimate of what our client may pay for new hires. Actual pay may vary based on Client's assessment of the candidates knowledge, skills, abilities (KSAs), related experience, education, certifications and ability to meet required minimum job qualifications. Other factors impacting pay include prevailing wages in the work location and internal equity. $80 - $90 per hour on W2.

Senior / Staff Frontend Engineer | Product-Focused | Series A Startup We're working with a Series A, AI-driven software company building a product that fundamentally changes how federal contractors create and submit proposals. This team is tackling complex, high-stakes workflows and turning weeks of compliance-heavy work into days through thoughtful product design and modern AI. This role is ideal for a Senior or Staff-level Frontend Engineer who cares deeply about user experience, enjoys owning large parts of the product, and wants to help shape both the technical foundation and product direction at an early-stage company. What you'll do • Build and ship core, customer-facing product features used by external users • Own frontend architecture and help define best practices as the product scales • Partner closely with product, design, and backend engineering to deliver polished, intuitive experiences • Translate complex workflows into clean, usable interfaces • Contribute to enterprise-grade software with high standards for performance and reliability • Play a key role in an early-stage company, influencing both product direction and engineering culture What we're looking for • 5+ years of product-focused frontend engineering experience • Proven experience building consumer or business-facing products (not just internal tools) • Background working at a Series A or early-stage startup, or a strong desire to work in that environment • Track record of shipping high-quality software in fast-moving, ambiguous settings • Senior-level ownership mindset, with Staff-level scope or ambition welcomed Technical skills • Strong proficiency in React, JavaScript, and TypeScript • Deep understanding of modern web technologies and frontend architecture • Strong UI/UX instincts and product design sensibility • Experience building complex, data-rich interfaces • Exposure to AI-powered features or large language models is a plus Traits that matter • Product-minded and deeply user-centric • Comfortable taking ownership and making decisions • Excited to build from the ground up at an early-stage startup • Clear communicator who collaborates well across disciplines If you're excited about building meaningful, user-facing products at a Series A company where your work has visible impact, this is worth a conversation.

I'm hiring an AI Product Engineer for a fast-growing AI start-up that's building agents to automate financial crime workflows. Their tech works like a real analyst inside a browser and internal tools, helping banks cut huge amounts of manual work and stop fraud more effectively. They're small, highly technical, and already seeing strong traction with major institutions. In this role, you'll work across the stack, build end-to-end features, shape new agent capabilities, and help ship production systems that have real impact for customers. We're looking for engineers who: Love building quickly and owning problems end to end Have experience with production systems or AI/ML workflows Communicate clearly and enjoy working with minimal process Want to push what's possible with AI agents in the real world Minimum Bachelor's degree in Computer Science (or adjacent) Their stack is Python, Node, React and Typescript (not a dealbreaker to be experienced with these!) Apply or reach out directly if you're interested!

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!

What You'll Do You will join a small, elite product pod operating like a founding team inside the company. Your work will directly shape the future of entirely new product lines-from ideation to product-market fit to scaling toward $10M+ ARR. In this role, you will: Drive products from 0 → 1 → 10M ARR, owning development end-to-end. Lead feature creation, product decisions, customer conversations, and full-stack execution. Build high-impact AI products used daily in real industrial workflows (e.g., accounts receivable automation, lead-gen automation, factory operations tools). Collaborate directly with multibillion-dollar enterprise clients to understand pain points and design solutions. Occasionally visit factories and warehouses to observe real users and validate workflows (infrequent but highly impactful). This role is ideal for someone who wants meaningful ownership, fast iteration cycles, and the ability to build products with immediate real-world impact. Who We're Looking For Profile Archetypes We Like We've found people with the following backgrounds thrive in this environment: Early-career engineers (early to mid-20s) with 2-5 years at a high-growth, respected startup Experience at strong companies through internships Involvement in elite tech or founder communities (e.g., Neo, Contrary, 8VC, Dorm Room Fund) Degree in computer science from a strong technical university (Master's degree is a plus) Solid backend engineering skills; full-stack, CI/CD, and infra experience are strong bonuses Bonus: tried starting a company before (even if small or not VC-backed) Mindset & Traits Builder mentality - loves shipping quickly and iterating in the wild Comfortable with ambiguity and owning entire product surfaces Strong customer intuition or willingness to develop it Energized by small teams, high autonomy, and high expectations Excited to build AI products that deliver value from day one

We are seeking a skilled and motivated Java Developer to join our software engineering team. The ideal candidate will be instrumental in designing, developing, and maintaining high-performance, scalable Java applications that require complex data management across both relational (SQL) and non-relational (NoSQL) databases. Proven experience as a Java Developer, with 3-8 years of hands-on experience in software development. Strong proficiency in Core Java and object-oriented programming (OOP) principles. Extensive experience with Java frameworks, particularly the Spring ecosystem (Spring Boot, Spring MVC, Spring Data JPA). Proficiency in database technologies, including writing complex queries for SQL (e.g., MySQL, PostgreSQL) and working knowledge of NoSQL databases (e.g., MongoDB). Experience with building RESTful APIs and understanding microservices architecture. Familiarity with version control systems (Git) and build tools (Maven/Gradle). Knowledge of front-end technologies (HTML, CSS, JavaScript) is a plus. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) is preferred.

We are building a general AI for humanoid robots that learns in the real world with minimal human supervision. Our approach is based on world-model-based reinforcement learning trained on large-scale data that is practical to collect. This makes it possible to learn reliable behaviors and improve beyond human performance limits. As a founding engineer, you will design and build core systems while helping shape the technical direction from the ground up. Responsibilities Build data pipelines that scale to 100k+ hours of multimodal robot data Scale pre- and post-training runs on 1000s of GPUs Improve inference efficiency on low-power embedded systems Lead core architectural decisions, help define the long-term technical roadmap, and set engineering standards from the beginning Qualifications Strong practical experience building software infrastructure Experience implementing and debugging distributed systems Extensive experience in Python and at least one deep learning library such as PyTorch or JAX Ideally experienced in implementing scalable training pipelines for world-model-based RL Experience with systems programming languages (e.g. Rust, C++) is a plus We're a small, focused team where your contributions would have a major impact. As a founding team member, you'd also have significant ownership in what we're building together - we believe in giving our early engineers meaningful equity that reflects their foundational role.

🚁 Robotics Engineer (Forward Deployed) | UAVs, Aerial Autonomy | Remote (US) We're working with one of the most exciting venture-backed robotics startups in the defense-tech space, building real-time autonomous systems that are deployed directly into the field and used by operators in live environments. Backed by leading defense-focused investors, this team develops mission-critical aerial autonomy software that integrates into next-generation defense platforms. They are hiring a Robotics Engineer to join a small, high-impact engineering team. This role is ideal for someone who has built UAV or drone software hands-on, taken systems from early concept through prototype, and enjoys working directly with customers to shape real-world robotic systems. What you'll be working on: Designing and developing end-to-end UAV and aerial robotics software for defense-focused use cases Building and iterating on autonomous systems using C++, Python, and ROS Prototyping UAV capabilities, running flight tests, gathering operator feedback, and refining rapidly Integrating navigation, mapping, computer vision, and sensor systems into a unified platform Working directly with operators and external stakeholders to understand system behavior in the field Debugging, troubleshooting, and optimizing systems for reliability in real-world environments Collaborating closely with autonomy, hardware, and product teams from lab to deployment What you'll bring: Hands-on experience developing software for drones or UAVs Strong proficiency in C++ with solid robotics software fundamentals Experience working with navigation, mapping, or computer vision systems Familiarity with ROS and real-time sensor data pipelines Comfort operating without rigid requirements and iterating through trial and error A systems-level mindset, able to connect multiple parts of the robotics stack into a working solution Strong communication skills and confidence working directly with customers and operators Bonus points for: PX4 or Ardupilot flight controller experience Startup or founding team experience with exceptional scope University robotics or drone competition teams SLAM, path planning, or perception integration experience Hands-on hardware or prototyping exposure Why this role? Work on cutting-edge UAV autonomy with real-world deployment Join a fast-moving, VC-backed startup with significant ownership and impact Full benefits package including health, dental, vision, 401(k), and flexibility See your software used directly by operators in critical environments This role is open to US-based engineers only. US Citizenship or Green Card required (ITAR compliant). Apply now or for more information, please contact Ciara Holmes at EVONA

Software Engineer (Post Training) - San Francisco, CA A company building frontier-scale AI models that automate software engineering and AI research, combining ultra-long context, domain-specific RL, and massive compute infrastructure are looking for a Software Engineer (Post Training) to join their team. What Will I Be Doing: Build and maintain robust, high-performance data pipelines to support large-scale post-training workflows Partner closely with research and applied teams to design strategies for sourcing diverse, targeted datasets at scale Develop creative approaches to generating high-quality synthetic data for model improvement Iterate on dataset filtering, scoring and quality heuristics to improve post-training outcomes Implement, test and operate data infrastructure supporting workloads from gigabytes to hundreds of petabytes What We're Looking For: Exceptional attention to detail and a strong commitment to data quality Ability to write reliable, well-tested production code Comfort learning new tools, languages and frameworks as needed End-to-end experience across data pipelines, from scraping and ingestion through processing and validation High intellectual agility, curiosity and grit to tackle complex, ambiguous problems What's In It for Me: Salary of $225K-$550K dependent on experience + significant equity Great benefits inc. 401(k) with 6% company match, comprehensive health, unlimited PTO Visa sponsorship and SF relocation stipend available Well-funded ($465M+) with backing from top investors Apply now for immediate consideration!