Member of Technical Staff, Infrastructure

Recruiting From Scratch (RFS Group)

Member of Technical Staff, Infrastructure

Location

San Francisco, CA

On-site role requiring 6 days/week in the San Francisco office.

Compensation

$200,000 – $350,000 Base + Competitive Equity

Visa

Open to H-1B Transfers / OPT Transfers No new visa sponsorship.

Company Stage

Series A – Growth-Stage AI / Robotics Technology Company

Industry

Artificial Intelligence, Robotics, Machine Learning, Infrastructure, Distributed Systems, Autonomous Systems, Cloud Computing, ML Infrastructure

About the Company

Our client is building general-purpose autonomous robots designed to automate physical labor in real-world industrial environments.

The company is developing the infrastructure required to train, deploy, and continuously improve AI models powering a fleet of physically deployed robots.

The company has raised approximately $23M from leading investors and has assembled a highly technical team with backgrounds across leading AI, robotics, infrastructure, and technology companies.

As a Member of Technical Staff, Infrastructure, you'll work on foundational systems spanning distributed computing, large-scale data pipelines, GPU infrastructure, model training, networking, deployment, and real-time robot operations.

This is an opportunity for a high-slope systems engineer who wants broad ownership in an early-stage environment where infrastructure decisions have immediate impact and engineering standards are still being established.

What You'll Do

• Build and own distributed systems infrastructure powering a fleet of deployed autonomous robots

• Design infrastructure for large-scale model training and inference workloads

• Build training orchestration systems for large-scale ML workloads

• Design compute scheduling and resource allocation systems

• Build fault-tolerant infrastructure for production AI and robotics workloads

• Develop networking infrastructure supporting physically deployed robots

• Design and maintain large-scale data pipelines for robot telemetry and video data

• Build systems capable of ingesting and processing petabyte-scale datasets

• Ensure training infrastructure can continuously ingest and process production robot data

• Architect continuous-learning infrastructure connecting deployed robots to model training systems

• Build reliable pipelines that move production trajectories from robots back into training

• Optimize data infrastructure to keep GPU workloads continuously supplied with data

• Build and improve GPU cluster orchestration and compute infrastructure

• Work on low-latency infrastructure supporting robot operations across long distances

• Design systems capable of meeting demanding latency and reliability requirements

• Build internal infrastructure and developer tooling that improves engineering velocity

• Identify infrastructure bottlenecks and own solutions end-to-end

• Work across different areas of the stack depending on the highest-leverage technical problem

• Develop core libraries and infrastructure components used across the engineering organization

• Improve observability, reliability, and operational tooling across distributed systems

• Establish engineering standards and best practices across infrastructure

• Work closely with ML researchers, robotics engineers, and software engineers

• Support infrastructure powering large-scale model training and experimentation

• Build systems that can reliably operate in real-world production environments

• Make architectural decisions in a rapidly evolving technical environment

• Operate with significant autonomy and ownership

• Move quickly from identifying a bottleneck to designing and shipping a solution

• Help shape the company's long-term infrastructure and distributed systems architecture

• Ideal Candidate Background

• Experience Requirements

• 2+ years of experience in infrastructure, distributed systems, or related engineering roles

• Strong systems engineering background

• Experience building production infrastructure or distributed systems

• Experience working with large-scale data, compute, or infrastructure systems

• Experience at a highly technical, tier-1 VC-backed startup, technology company, or research lab

• Experience operating in environments with a high engineering talent bar

• Experience owning technical projects end-to-end

• Experience working in fast-moving startup or research environments

• Strong ability to operate independently with minimal structure

• Strong engineering judgment and problem-solving ability

• Ability to move quickly between different technical problem areas

• Strong communication skills and technical curiosity

• Comfortable working on-site in San Francisco 6 days/week

• Comfortable working long hours in a highly demanding startup environment

• Technical Requirements

• Strong distributed systems fundamentals

• Strong systems engineering fundamentals

• Experience building scalable infrastructure

• Experience with large-scale data pipelines

• Experience with cloud infrastructure and distributed compute

• Experience with GPU or high-performance computing infrastructure preferred

• Experience with ML infrastructure or model training systems preferred

• Experience with compute scheduling or orchestration preferred

• Experience with fault-tolerant distributed systems

• Experience with networking and infrastructure systems

• Experience with large-scale data processing

• Strong Python programming skills

• Strong C/C++ programming skills or experience preferred

• Experience working with production infrastructure

• Strong understanding of system design and architecture

• Ability to troubleshoot complex distributed systems

• Ability to reason about performance, reliability, and scalability

• Experience with large-scale training infrastructure preferred

• Experience with petabyte-scale data systems preferred

• Experience with multi-node training orchestration preferred

• Experience with real-time or low-latency systems preferred

• Experience with robotics or autonomous systems preferred

Education

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related technical field preferred

• Strong computer science and systems fundamentals

• Equivalent practical engineering experience accepted

• Soft Skills

• Exceptional ownership and execution ability

• High technical slope and learning velocity

• Strong engineering intuition

• Highly hands-on engineering mindset

• Comfortable operating with significant autonomy

• Strong problem-solving ability

• Strong technical communication skills

• High energy and urgency

• Comfortable working in highly demanding startup environments

• Comfortable working across different technical domains

• Strong builder mentality

• Comfortable operating without established processes

• Strong attention to engineering quality

• Willing to tackle whichever technical bottleneck is most important

• Comfortable making decisions with incomplete information

• Strong collaboration skills

• Comfortable working closely with highly technical engineers and researchers

• Low-ego technical working style

• Strong interest in AI, robotics, infrastructure, and distributed systems

• Comfortable working 6 days/week onsite in San Francisco

• Compensation & Benefits

• Base Salary: $200,000 – $350,000

• Competitive startup equity

• Potential flexibility toward the top end of the range for exceptional candidates

• Opportunity to join a highly technical early-stage AI and robotics company

• Ownership over foundational infrastructure systems

• Exposure to petabyte-scale data infrastructure

• Opportunity to build GPU and ML training infrastructure

• Work on distributed systems powering physically deployed autonomous robots

• Opportunity to solve difficult real-world infrastructure and systems problems

• Direct impact on production robotics systems

• High technical ownership and autonomy

• Opportunity to work closely with experienced AI, robotics, and infrastructure engineers

• Opportunity to shape engineering standards and infrastructure architecture from an early stage

• H-1B and OPT transfer support

• Why Join

• This is an opportunity to join an ambitious AI and robotics company building infrastructure for autonomous systems operating in the physical world.

• You'll work on infrastructure problems that span distributed systems, petabyte-scale data pipelines, GPU clusters, model training, networking, and real-time robot deployment.

• Unlike mature infrastructure organizations where responsibilities are highly specialized,