What are the responsibilities and job description for the Senior Software Engineer, AI Infra position at roboforce?
Why RoboForce
RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.
We are looking for a Senior Software Engineer, AI Infra to build scalable AI infrastructure. As a Senior Software Engineer, you will architect and implement the core training infrastructure that enables large-scale model training, validation workflows, and production deployment for physical robots. You will work across cloud systems, GPU clusters, data pipelines, and robotics runtime environments to create a high-performance platform for Physical AI.
Responsibilities:
- Build and maintain distributed training pipelines leveraging PyTorch, JAX, or equivalent frameworks across multi-GPU and multi-node clusters.
- Build tools for data collection, training, and deployment of neural networks on RoboForce robots.
- Architect robust cloud-native and on-prem GPU infrastructure across multi-cloud environments.
- Build high-throughput data workflows to support large-scale dataset ingestion, versioning, and distributed storage.
- Optimize end-to-end training performance: CPU–GPU transfers, NVMe caching, I/O pipelines, containerized runtime environments, and CUDA-level optimizations.
- Integrate training artifacts into on-robot inference stacks.
Requirements
- Bachelor’s or Master’s degree in Computer Science or related field with 5 years of experience.
- Strong proficiency with C , Python, and ML frameworks (e.g., PyTorch, JAX).
- Deep experience with at least one major cloud provider (GCP, AWS, Azure) and familiarity with Kubernetes, containerization, and GPU machine provisioning.
- Strong understanding of SQL and NoSQL data stores (Postgres, MySQL, BigQuery, ElasticSearch, Redis).
- Requires 5 days/week in-office collaboration with the teams.
Bonus Qualifications
- Expertise in profiling and optimizing CPU-GPU interactions.
- Experience scaling neural network training jobs and GPU programming with CUDA.
- Proven ability to develop annotation and dataset management tools.
Benefits
- Competitive stock options/equity programs.
- Health, dental, and vision insurance, 401(k) plan.
- Visa sponsorship and green card support for qualified candidates.
- Lunches and dinners, a fully stocked kitchen, and regular team-building events.