Humble Robotics Logo

Humble Robotics

Infrastructure Engineer, Vehicle Platform

Posted 16 Days Ago
In-Office
San Francisco, CA, USA
Mid level
In-Office
San Francisco, CA, USA
Mid level
Design, build, and scale vehicle data-collection networking and infrastructure. Integrate software with onboard compute, sensors, and navigation. Build CI/CD, ensure performance, security, and operational excellence for an autonomous vehicle fleet.
The summary above was generated by AI
About Humble Robotics

Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We're building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today's global logistics network.


We're a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don't believe culture can be engineered – but when it falls into place, it's a once-in-a-lifetime adventure.


Progress has never felt so present.

Position Overview

    We're looking for an infrastructure engineer to help design, build, and scale the systems that connect our autonomous vehicles to everything else we do. You'll own the path that moves massive volumes of sensor data off our trucks and into our platform, integrate our software layer with the compute and sensors running on the vehicles, and be an important voice in the technical and organizational decisions that shape our work. Help us build reliable, performant, and secure infrastructure that every team at Humble Robotics can rely on. It's fun here. We are doing cool stuff.


    The ideal candidate is a first-principles thinker who is comfortable being a broad generalist. Design and own systems end to end, and work on every layer of the stack to help make the software and model iteration loop as fast and efficient as possible. We're a small team, and your input, experience, and knowledge will play a critical role in shaping every system we build, operate, and depend on to achieve our mission.

Key Responsibilities

    • Build the data collection networking and infrastructure that offloads large volumes of sensor data reliably and at high throughput from our vehicles into our training platform

    • Collaborate with onboard and hardware teams to integrate our software layer with the compute, sensor, and navigation systems running on our autonomous vehicles

    • Partner with software and autonomy teams to translate their workflows into reliable infrastructure that accelerates everyone's work. Help teams iterate quickly and deploy software and models into the real world

    • Work closely with everyone at the company to create efficient workflows and maintain a high level of operational excellence for the vehicle fleet

    • Help every team member go fast, safely and smoothly

Minimum Qualifications

    • Experience with infrastructure-as-code and configuration management tools (we use Terraform and Ansible)

    • Expertise building and maintaining CI/CD pipelines and managing deployments

    • Expertise in OS, networking, and security fundamentals including Linux administration, system and application performance tuning, enterprise networking, and the practical application of cryptography

    • Comfortable reading, writing, and extending non-trivial code within a production robotics/AV codebase (not just scripting)

    • Eligible to work in the United States

Preferred Qualifications

    • Prior infrastructure experience at an early-stage startup

    • Experience with high performance campus networking

    • Experience working with embedded compute and robotics systems

    • Comfort operating as an early team member—high ownership, low ego, fast iteration

Compensation

    This role is eligible for base salary + benefits + equity compensation. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location.

Additional Information

    As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact [email protected] to exercise this right or if you have further questions on the use of AI tools in our hiring process.


    Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances.

Similar Jobs

10 Minutes Ago
Hybrid
5 Locations
77K-202K Annually
Mid level
77K-202K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Engineer and optimize Palo Alto Networks XSIAM security operations capabilities by tuning alerts, validating rules, monitoring performance, investigating incidents, automating workflows, onboarding data sources, and integrating security tools. The role supports threat intelligence, vulnerability management, cloud and network security, forensics, intrusion detection, secure systems, documentation, and client-facing cybersecurity consulting while maintaining current knowledge of Palo Alto Networks technologies and emerging threats.
Top Skills: Cloud SecurityCortex XdrEncryption ProtocolsGoogle TechnologiesIntrusion Detection SystemsMalware AnalysisMicrosoft SentinelNetwork ForensicsNetwork SecurityPalo Alto Networks XsiamPrisma CloudPythonRest ApisSIEMSoarSplunkThreat IntelligenceVulnerability Management
2 Hours Ago
In-Office or Remote
United States
Entry level
Entry level
Greentech • Hardware • Internet of Things • Machine Learning • Software • Business Intelligence • Agriculture
Halter is building a talent pool for people considering returning to New Zealand, Australia, or joining the USA team. Opportunities may span software, digital product, firmware, data, systems, machine learning, hardware, production, trades, supply chain, sales, field support, customer success, research, marketing, strategy, operations, and people teams. Applicants should submit a CV or LinkedIn profile, current and preferred location, anticipated relocation timing, and relevant visa or partner employment information.
Yesterday
Hybrid
San Jose, CA, USA
212K-286K Annually
Expert/Leader
212K-286K Annually
Expert/Leader
Artificial Intelligence • Internet of Things • Semiconductor
Leads strategic UX research for AI and developer platforms, studying tools, APIs, runtimes, documentation, workflows, and agent-mediated experiences. The researcher identifies high-value questions, applies qualitative and quantitative methods, influences product and platform direction, and translates insights into design principles and recommendations. Responsibilities include engaging developers, customers, and partners; representing user needs in leadership and roadmap discussions; and mentoring peers to improve evidence-based research practices.
Top Skills: Ai FrameworksAi PlatformsAPIsClisDeveloper ToolsGuisPerformance ToolingRuntimes

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