Figure.ai Logo

Figure.ai

Helix AI Engineer, Backend

Reposted 4 Days Ago
Be an Early Applicant
In-Office
San Jose, CA, USA
150K-400K Annually
Senior level
In-Office
San Jose, CA, USA
150K-400K Annually
Senior level
Design, architect, and scale cloud backend infrastructure for real-time media and sensor data streaming. Own reliability and throughput SLAs, collaborate with AI teams, and mentor engineers.
The summary above was generated by AI

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and require 5 days/week in-office collaboration. It’s time to build.

We're looking for a backend engineer to build the services and infrastructure behind Figure's consumer mobile application, including auth, payments, and tooling.

You'll own systems end to end, from identity and billing to delivery pipelines, internal dashboards, and the cloud platform they run on.

WHAT YOU'LL DO

  • Design and build the core auth and identity service, including KYC integration.
  • Build payments and billing infrastructure: payouts, transactions, disputes, and reconciliation.
  • Own the media ingestion and delivery pipeline for high-volume data ingestion.
  • Own the cloud platform: environments, infrastructure as code, CI/CD, observability, and cost.
  • Ship the notification system across push, SMS, and email.
  • Build the web interface and dashboards that give the business visibility into tasks, supply, and quality.

WHAT WE'RE LOOKING FOR

  • 5+ years building production backend systems at scale.
  • Strong distributed systems fundamentals: APIs, queues, storage, and event-driven architecture.
  • Hands-on experience with payments, billing, or fintech infrastructure.
  • Hands-on infrastructure experience: AWS or GCP, Terraform or similar, containers, and CI/CD.
  • Proficiency in Go, Python, or similar.
  • Experience shipping systems that move real money for real users, with the reliability bar that implies.

NICE TO HAVE

  • Marketplace or gig platform experience (Uber, TaskRabbit, DoorDash, or similar).
  • Fintech background (Square, Stripe, DailyPay, or similar).
  • Experience with media storage and processing pipelines at scale.
  • Experience as the first or only infrastructure owner on a small team.

The US base salary range for this full-time position is between $200,000 - $400,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

HQ

Figure.ai San Jose, California, USA Office

San Jose, CA, United States

Similar Jobs

22 Minutes Ago
Remote or Hybrid
4 Locations
98K-150K Annually
Mid level
98K-150K Annually
Mid level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Partner with People Analytics Consultants to analyze HR data, deliver actionable insights for talent decisions, workforce planning, retention, and employee experience. Design analyses, present findings to leaders, manage multiple projects, and help enhance analytics solutions.
Top Skills: ExcelPower BIPythonRSQL
24 Minutes Ago
Hybrid
San Francisco, CA, USA
80K-141K Annually
Senior level
80K-141K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead real-time incident response for GM's autonomous vehicle testing fleet as Incident Commander. Triage on-road events, coordinate cross-functional investigations, document incidents for legal and regulatory teams, improve response playbooks and tools, train teams, and participate in a 24/7 on-call rotation to protect fleet safety and continuity.
Top Skills: LookerPagerdutyServicenow
26 Minutes Ago
Hybrid
Sunnyvale, CA, USA
155K-396K Annually
Senior level
155K-396K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Build and scale the ML compute backend: develop core backend services, integrate with GPU hardware and orchestration systems, optimize GPU utilization and system performance, ensure reliability and scalability, work with cloud providers and Kubernetes at scale, and lead large cross-team initiatives to improve ML platform usability and efficiency.
Top Skills: A100Amazon Web Services (Aws)B200C++GoGoogle Cloud Platform (Gcp)H100KubernetesAzurePythonPyTorchRayTorchxTpu

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account