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About the Role

We’re looking for a Software Engineer to join our ML Infrastructure team. In this role, you’ll help build the training and inference systems that power our general-purpose warehouse robots. You’ll own training infrastructure end to end: keeping GPUs highly utilized, making runs reproducible, and ensuring every researcher can launch the next experiment with a single command. You’ll work closely with ML and Robotics teams to design, build, and scale the systems that turn our GPU clusters into a reliable, high-throughput platform for model development.

Responsibilities

Design, develop, and maintain ML training infrastructure that enables the AI team to run training jobs efficiently, manage and iterate experiments quickly.
Build low-latency inference pipelines for production robotics workloads.
Develop, tune, and optimize low-level CUDA kernels.
Design training-platform systems for scalable model training, including high-throughput data ingestion, dataset sharding and sampling for distributed training.
Participate in and lead design reviews with peers and stakeholders to evaluate technical tradeoffs and select appropriate technologies.
Review code and provide feedback to uphold best practices around style, correctness, testability, performance, and maintainability.
Contribute to documentation and educational materials, adapting content as systems and workflows evolve.
Mentor junior engineers and help raise the technical bar across the team.

Requirements

Bachelor’s, Master’s, or PhD in Computer Science or a related field, or equivalent practical experience.
4+ years of industry experience in infrastructure, distributed systems, ML systems, robotics, or a related area.
Experience with programming languages such as Rust, Go, Python, or C++.
Experience with ML frameworks such as PyTorch or JAX.
Strong understanding of distributed systems, systems programming fundamentals, memory management, and performance optimization.
Experience with Kubernetes orchestration, resource scheduling for large distributed jobs, and containerized deployment pipelines.
Ability to debug and optimize bottlenecks across GPU memory hierarchy, networking fabric, filesystems, and multi-GPU operations.
Ability to reason from first principles and optimize systems for both memory-bound and compute-bound workloads.
Strong cross-functional communication skills, ownership, and a growth mindset.
Hands-on experience with distributed training frameworks and techniques such as PyTorch DDP/FSDP, DeepSpeed, Megatron, or NCCL.
Hands-on experience with GPU kernel development.
Experience with data engineering technologies such as Parquet, Arrow, or similar systems.

Skills

Rust
Go
Python
C++
PyTorch
JAX
Kubernetes
Parquet
Arrow
PyTorch DDP/FSDP
DeepSpeed
Megatron
NCCL

Experience Level

4+ years of industry experience

Education Level

Bachelor’s, Master’s, or PhD in Computer Science or a related field, or equivalent practical experience.

Salary/Compensations

$210,000 and $300,000/year

Benefits

Unlimited Flexible Time Off
Medical, dental, and vision insurance
Paid Parental Leave
Commuter Benefits
Referral Bonus
401k
Equity

About the Company

Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce.
We’re training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain.
We’ve raised over $220M at over $1B valuation and formed a strategic alliance with FedEx to build a national network of autonomous warehouses capable of generating many billions in annual revenue.
We are a hardcore and obsessed team of the world’s best engineers and operators.
Our mission is to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial.
We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – powered by generalist superhumanoids.
Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford’s AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles).
We embrace challenges and strive to make the impossible possible each day.
We want to create something legendary and leave our mark on the world.
We’re ambitious, we’re gritty, we’re humble and we’re relentlessly resourceful in pursuit of our goals.

Equal Opportunity

Nimble Robotics, Inc. is an equal opportunity employer.
We make all employment decisions based solely on merit.
We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws.