Software Engineer

Humanoid

San Diego (CA)

On-site

USD 155,000 - 185,000

Full time

14 days+

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Benefits offered by this job

Comprehensive health coverage
23 days of PTO
401(k) retirement plan with employer match
Equity included
Free daily catered lunch

Job summary

Humanoid in San Diego is seeking a Software Engineer to enhance their platform infrastructure. In this role, you'll work closely with a senior engineer to develop backend services and automation tooling that drive their humanoid robots.

The ideal candidate has over 5 years of experience, solid foundations in CS, and is fluent in one or more backend programming languages like Python, C/C++, TypeScript, or Rust. Humanoid offers a competitive salary range of $155,000-$185,000 per year along with comprehensive health coverage and 23 days of paid time off.

Qualifications

  • 5+ years of professional experience.
  • Proficiency in at least one systems or backend language.
  • Comfort working in Linux environments.

Responsibilities

  • Build and ship software with production-quality code.
  • Learn alongside experts and have real ownership of deliverables.
  • Collaborate with teams across multiple global locations.

Skills

Technical communication
Receptive to feedback
Problem-solving
Collaboration
Clean code writing

Education

B.S. or M.S. in Computer Science or related field

Tools

Python
C/C++
TypeScript
Rust
Linux

Job description

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially‑scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we’re growing the team to take it even further.

About the Role

We’re hiring a Software Engineer to join our Platform Infrastructure team in San Diego. You’ll partner with a technical lead engineer and embedded in device identity and security—this is one area form the backbone of how we build, provision, deploy, and manage our robots at scale.

You will have the opportunity to contribute across three interconnected areas:

  • Cloud Control Plane & On-Robot Software — The services and daemons that provision devices, distribute OTA updates, publish telemetry, and keep each robot's state converged with what the cloud expects. This spans backend services on AWS (Terraform, ECS, Postgres, S3) and the on‑robot clients that make each device a self‑updating, observable member of the fleet.

This role is designed for someone who is curious, technically sharp, and eager to learn, grow and build. Much of what you’ll work on—from secure boot pipelines to fleet‑scale cloud infrastructure—isn’t taught in a classroom. We’re looking for the right attitude, aptitude and experience. We’ll invest in continuing your development into a world class platform engineer.

What You'll Do

Our platform infrastructure spans from the factory floor to the cloud and everything running on the robot in between.

  • Build and ship software — Write production‑quality code that contributes to our platform infrastructure, from backend services and automation tooling to provisioning and test systems.
  • Learn alongside experts — Pair directly with a senior engineer who will mentor you in your focus area while giving you real ownership of deliverables.
  • Collaborate across a global team — Work daily with firmware, applications, cloud, manufacturing, systems, and operations team members across the local San Diego office and global offices in London, Boston, and Vancouver.
  • Embrace agentic development workflows — Use modern AI‑assisted coding tools and practices we expect everyone on the team to leverage these to move faster with higher quality.
  • Own your growth — As the team scales and business needs evolve, your focus within the platform infrastructure workstream will grow with you.
What We're Looking For
  • Strong technical communication — You can explain your thought process clearly to a technical teammate, in writing and in person.
  • Receptive to feedback — You have a demonstrated history of receiving and responding to feedback constructively.
  • Leans into hard problems — You don’t shy away from unfamiliar territory; you dig in and figure it out.
  • Humble — You are able to put your own ideas aside, listen, and genuinely consider others’ perspectives.
  • Collaborative — You see knowledge as something to share, not withhold, in order to solve problems faster, together.
  • Responsible — You strive to understand the “why” of your work and have the passion and ambition to push to get it over the line.
  • Technically grounded — You have a solid foundation in CS fundamentals and can write clean, readable code even if you’re still building experience in our specific stack.
Experience
  • 5+ years of professional experience.
  • B.S. or M.S. in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  • Proficiency in at least one systems or backend language (Python, C/C++, TypeScript, or Rust). Specific technical requirements will vary by workstream — details will be shared during the hiring process.
  • Proficiency in AI tools for research, iteration, feedback, development and test.
  • Comfort working in Linux environments.
  • Ability to work on‑site at our San Diego office.
What We Offer
  • Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
  • Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
  • 401(k) retirement plan with employer match.
  • Equity included–we believe builders should share in what they build.
  • Free daily catered lunch, snacks, and drinks in‑office.
  • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
  • Freedom to influence the product and own key initiatives.

For this role in California, the expected base salary range is $155,000-$185,000 USD per year; your placement in that range depends on how your experience maps to our internal leveling.

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