Description review
ML Infra Engineer
Humble Robotics · United States · back to the listing
HR standards
58/100
needs work
Title ↔ description
72/100
solid
Reads as
Unclear
no confident match
What this role officially is
ICT system administrator — ESCO, the EU occupation classification
ICT system administrators are responsible for the upkeep, configuration, and reliable operation of computer and network systems, servers, workstations and peripheral devices. They may acquire, install, or upgrade computer components and software; automate routine tasks; write computer programs; troubleshoot; train and supervise staff; and provide technical support. They ensure optimum system integrity, security, backup and performance.
Also known as: enterprise administrator, IT system administrator, ICT systems administrator, ICT sysadmins, IT systems administrator, ICT sysadmin
How others title the same work
Large employers
- Senior Software Engineer, Developer Infrastructure Coinbase
- Senior Software Engineer, Infrastructure - Compute Platform Coinbase
- Senior Software Engineer, Infrastructure - Core Infra Systems Coinbase
- Software Engineer - Python - Container Images Canonical Ltd.
- Software Engineer - Secure Container Images Canonical
Startups
- Ecosmic | Senior DevOps Engineer | Remote (Italy) | €50,000–€60,000 Ecosmic
- 3C Digital Solutions | Terraform Module Developer 3C Digital Solutions
- Software Engineer, Cloud Infrastructure Accord
- BCC | Platform Systems Engineers | Bethesda MD | Competitive compensation! BCC
- DevOps Engineer Cyble
What the listing never says
- 16 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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 ML infrastructure engineer to help design, build, and scale the foundational systems we need to realize our ambitious vision. You'll work on tooling and infrastructure that supports every stage of the ML training flywheel and be an important voice in the technical and organizational decisions that shape our work. From areas spanning vehicle compute to data collection to dataset curation to large-scale model training and deployment, 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. Work on every layer of the stack to help make the software 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
• Work on data collection infrastructure that moves sensor data reliably and efficiently from our vehicles into our ML platform
• Develop batch compute pipelines for cataloging, exploring, and curating raw data into high-quality training sets
• Design and scale distributed ML training on our GPU clusters
• Take ownership of performance, observability, efficiency, and security across the full pipeline
• Partner with the ML team to understand their workflows and translate them into reliable infrastructure that accelerates their work
Minimum Qualifications
• Experience building and operating high-availability web services on cloud infrastructure
• Experience with infrastructure-as-code and configuration management tools (we use Terraform and Ansible)
• Experience building and maintaining CI/CD pipelines and managing deployments
• Fluent in security fundamentals including Linux hardening, network security, and cryptographic principles
• Hands-on experience with cluster scheduling systems for running large-scale batch computation
• Comfortable reading, writing, and extending non-trivial code (not just scripting)
• Eligible to work in the United States
Preferred Qualifications
• Hands-on experience managing large, high-performance ML training clusters
• Working knowledge of distributed training frameworks and high-performance networking for ML workloads
• Prior infrastructure experience at an early-stage autonomous vehicle or robotics company
• 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 **** 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.
Originally posted on Himalayas
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 ML infrastructure engineer to help design, build, and scale the foundational systems we need to realize our ambitious vision. You'll work on tooling and infrastructure that supports every stage of the ML training flywheel and be an important voice in the technical and organizational decisions that shape our work. From areas spanning vehicle compute to data collection to dataset curation to large-scale model training and deployment, 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. Work on every layer of the stack to help make the software 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
• Work on data collection infrastructure that moves sensor data reliably and efficiently from our vehicles into our ML platform
• Develop batch compute pipelines for cataloging, exploring, and curating raw data into high-quality training sets
• Design and scale distributed ML training on our GPU clusters
• Take ownership of performance, observability, efficiency, and security across the full pipeline
• Partner with the ML team to understand their workflows and translate them into reliable infrastructure that accelerates their work
Minimum Qualifications
• Experience building and operating high-availability web services on cloud infrastructure
• Experience with infrastructure-as-code and configuration management tools (we use Terraform and Ansible)
• Experience building and maintaining CI/CD pipelines and managing deployments
• Fluent in security fundamentals including Linux hardening, network security, and cryptographic principles
• Hands-on experience with cluster scheduling systems for running large-scale batch computation
• Comfortable reading, writing, and extending non-trivial code (not just scripting)
• Eligible to work in the United States
Preferred Qualifications
• Hands-on experience managing large, high-performance ML training clusters
• Working knowledge of distributed training frameworks and high-performance networking for ML workloads
• Prior infrastructure experience at an early-stage autonomous vehicle or robotics company
• 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 **** 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.
Originally posted on Himalayas