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Remote Founding Engineer Jobs in San Ramon, CA (NOW HIRING)

twenty80.io

Founding Full Stack Engineer

San Francisco, CA · On-site +1

$150K - $190K/yr

About the Role An early-stage startup is hiring a Founding Full Stack Engineer to help build its ... Hybrid or remote-friendly within U.S. time zones Equal Opportunity This opportunity is with an ...

SPLICE

Product Designer

San Francisco, CA · Remote

... a founding engineer. Solid base salary and equity along with many other benefits. Who are we ... Remote Work * Willing to sponsor visa * Unlimited PTO * Customize your workspace & tools * Offsites ...

SPLICE

Product Designer

San Francisco, CA · On-site +1

... a founding engineer. Solid base salary and equity along with many other benefits. Who are we ... Remote Work * Willing to sponsor visa * Unlimited PTO * Customize your workspace & tools * Offsites ...

Revic

Founding GTM AI Engineer

San Francisco, CA · Remote

As Revic's Founding GTM AI Engineer, you will work directly with Revic's CEO, Head of Revenue, and ... Area | Remote (US) Offsite - We trade slack for sunshine, every quarter we meet in-person The ...

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What are the key skills and qualifications needed to thrive as a Remote Founding Engineer, and why are they important?

To thrive as a Remote Founding Engineer, you need a deep background in software development, systems architecture, and ideally startup experience, often supported by a degree in computer science or related fields. Mastery of cloud platforms, version control (like Git), and familiarity with frameworks relevant to the product, as well as experience with DevOps tools, are typically required. Exceptional problem-solving, self-motivation, and strong communication skills help remote founding engineers stand out, especially in fast-paced, ambiguous environments. These combined skills and qualities are crucial for building scalable products, driving innovation, and collaborating effectively while working remotely in an early-stage company.

What are some unique challenges and rewards of being a Remote Founding Engineer in an early-stage startup?

As a Remote Founding Engineer, you'll face the challenge of building core product features from scratch while collaborating virtually with other founders and early team members. This often means balancing rapid, iterative development with high-quality code, all while helping to set technical direction and culture remotely. The role is highly rewarding for those who thrive in dynamic environments and value broad ownership, as your contributions directly shape the product and the company's future. You'll also gain valuable experience in both technical leadership and startup operations, positioning yourself for significant career growth and potential equity rewards.

What is a Remote Founding Engineer?

A Remote Founding Engineer is a key technical team member who helps launch and build a startup from its earliest stages, working entirely or primarily from a remote location. They are responsible for designing and developing the initial product, making crucial technical decisions, and often establishing the company's engineering culture. Founding Engineers typically collaborate closely with the company’s founders and may have a significant influence on the startup’s direction. Their role often includes both hands-on coding and broader responsibilities such as hiring, setting up processes, and scaling technology as the company grows.
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Founding Engineer - Applied AI -- Antes

David Joseph & Company

San Francisco, CA • On-site, Remote

$180K - $250K/yr

Full-time

Medical, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Founding Engineer – Applied AI — Antes

Location: San Francisco, CA (Onsite preferred — exceptional remote candidates considered)
Compensation: $180,000 – $250,000 base + equity
Visa Sponsorship: H-1B, O-1, OPT supported
Experience Level: 2–6 years
Employment Type: Full-Time

About Antes

Antes is building AI hardware for complex manufacturers — at the intersection of AI, hardware development, and policy, accelerating innovation and safety in the physical world. Antes partners with some of the world's most iconic automotive, aerospace, and industrial manufacturers and is backed by General Catalyst, Kleiner Perkins, and the parent company of Ferrari.

The founding team brings expertise across AI, advanced engineering, and policy — including a former America's Cup world champion, a global legal compliance lead at Uber, AI researchers from Stanford AI Lab, the former president of Hyundai, a CTO of Caterpillar, a former Chairman of the FAA and FCC, and other senior leaders from industry and government.

About the Role

Antes is hiring a world-class Applied AI Engineer to build the core systems behind their automation engine for hardware engineering. You will design, implement, and post-train AI agents that power critical product development workflows for global enterprise customers — working on novel AI systems that retrieve, interpret, and manipulate complex engineering design data, integrating deeply into real-world engineering environments.

This is a deeply technical, high-impact role. You will be among the first technical hires and will own mission-critical systems end to end. The problems are ambiguous, the constraints are real, and the expectations are high.

What You'll Own
  • Engineering agent workflows: Design and implement core workflows and infrastructure for hardware engineering agents, including intelligent context management, novel indexing approaches, and post-training
  • Design data interpretation: Build agents and ML models that can interpret, reason over, and manipulate complex engineering design data, integrating with enterprise-grade engineering tools and systems
  • Direct customer collaboration: Work closely with customers and the engineering team to deliver AI-powered workflows that are reliable, intuitive, and trusted in production environments
  • Prototype rapidly, validate ideas with real users, and ship frequently
  • Influence engineering culture, architecture decisions, and the future of the product
Requirements
  • Bachelor's or higher in Computer Science, Machine Learning, or equivalent experience
  • Strong familiarity with LLM architectures and agent research trends
  • Excellent programming skills with experience using ML libraries such as PyTorch, Hugging Face, and W&B
  • Experience building production ML or AI systems
  • Solid practical experience with search and information retrieval
  • Moves fast from idea to production with a genuine care for customer experience
  • Based in or willing to relocate to San Francisco — or an exceptional remote candidate
Nice to Have
  • 2+ years in applied machine learning, backend engineering, or AI infrastructure
  • Experience working with machine learning over geometric data, including CAD
  • Track record of high-impact contributions or published papers at top-tier AI labs or teams
Benefits
  • Unlimited PTO
  • Full health insurance
  • Free lunch and dinner
  • Company equipment provided
Interview Process
  1. Pending approval
  2. First round chat
  3. Second round engineering test
  4. Onsite (paid, all expenses covered)
  5. Offer
Logistics
  • SF onsite strongly preferred — exceptional remote candidates considered
  • H-1B, O-1, and OPT visa sponsorship available

Shortlisted candidates will be contacted by David Joseph & Co., the recruiting partner managing this search on behalf of Antes.