Software Engineer

Zenos
San Mateo Werqwise, US
On-site

Who this role is best for

Aimed at experienced engineers with a strong interest in AI/robotics who enjoy working in ambiguous environments and taking ownership of technical decisions.

Best fit for

  • Candidates with 3+ years of experience in high-growth environments or elite research labs
    — “Ideally 3+ years of professional experience in high-growth environments”
  • Individuals with a background in AI/ML, particularly object recognition and deep neural networks
    — “AI/ML: any - especially object recognition, reinforcement learning, and deep neural nets”
  • Engineers who are comfortable shaping tech stacks and mentoring others
    — “You will work with the team to set coding standards, define the tech stack, and mentor new hires”

Things to consider

  • The role requires a minimum of 4 days in-office at the San Mateo HQ
    — “4 days in-office with flexibility as needed”
  • This is a stealth-mode startup, which may involve limited external visibility or product exposure
    — “We are currently in stealth mode”

How to stand out

  • Highlight your experience with multi-threading, dev ops, or Linux in your resume and interviews
    — “Systems: multi-threading, dev ops, networking, linux”
  • Emphasize your ability to independently solve complex problems and take initiative
    — “This role is for someone who thrives in ambiguity, operates independently”
  • Showcase your contributions to defining and solving problems, not just executing them
    — “You enjoy defining the problem as you solve it”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • robust, performant systems
  • AI productivity in the physical world
Typical background
software engineeringAI/ML

Skills & requirements

Required

Ai/roboticsSystem DesignCoding StandardsTech Stack DefinitionMentorship

Preferred

Object RecognitionReinforcement LearningDeep Neural NetsMulti-threadingDev Ops

Stack & domain

Ai/mlObject RecognitionReinforcement LearningDeep Neural NetsMulti-threadingDev OpsNetworkingLinuxPythonC++RustProblem SolvingOwnershipDynamismAIRoboticsSoftware Engineering

About the role

Original posting from Zenos via Ashby

ABOUT US

Zenos is a highly funded next-gen AI/robotics startup, with strong customer demand. We are delivering AI productivity to the physical world. We’re attacking a trillion dollar market opportunity with a world class team at lightning speed, and having a ton of fun while doing it.

This role is for someone who thrives in ambiguity, operates independently, and likes working on interesting and varied problems with smart people from places like Google, Amazon, Stanford, Carnegie Mellon, and Apple. Our founders previously started and sold a successful AI company with a nine figure exit, and our CEO has been an executive at a hyperscale tech company.

Join us early and take on outsized equity ownership. This is a chance to join a top company with a unique strategy to build the next phase of AI - in the physical world. We have a fun, friendly team, and are hiring fast.

We are currently in stealth mode, but excited to launch with major announcements soon.

WHAT WE’RE LOOKING FOR

We are looking for top engineers that combine experience with intellectual horsepower.

Excellence: A track record of designing, scaling, and maintaining robust, performant systems. A software expert first, but excited to play with a bit of hardware.

Ownership: You will work with the team to set coding standards, define the tech stack, and mentor new hires as we scale.

Dynamism: You enjoy defining the problem as you solve it, and work well with others to crack big challenges. You’re not afraid to dive into multiple parts of the stack and do something that is fundamentally new.

NICE TO HAVES:

  • Experience: Ideally 3+ years of professional experience in high-growth environments, leading technology companies, or elite research labs.
  • AI/ML: any - especially object recognition, reinforcement learning, and deep neural nets
  • Systems: multi-threading, dev ops, networking, linux
  • Languages: Python, C++, Rust

THE PERKS

  • Competitive salary + significant equity: we want you to own what you build
  • High-performance compute and development infrastructure
  • Full relocation support
  • 100% health coverage
  • Daily paid lunches

LOCATION

Our HQ is in San Mateo, 25 minutes from San Francisco and Mountain View, walking distance from Caltrain. We’re building physical machines, so we aim for 4 days in-office with flexibility as needed.

Source: Zenos careers (Ashby)

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