System Software Engineer - AI

Delos Data Inc; Palo Alto (CA); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Equity

401k

Benefits

Job summary

Delos Data Inc. seeks a System Software Engineer to bridge high-level AI frameworks and low-level system software, enabling efficient execution of large-scale AI models across GPUs.

This hybrid role, based in Palo Alto, CA or Charlottesville, VA, focuses on building communication and execution primitives for scalable AI workloads with meaningful equity and benefits.

Qualifications

• Proficiency in C++ and Python with strong systems programming basics.
• Proficient in a Linux development environment.
• BS/MS in Computer Engineering or Computer Science or a related field.

Responsibilities

• Collaborate across the stack to influence the design of foundational AI infrastructure.
• Identify and resolve performance bottlenecks in distributed training and inference.
• Conduct rigorous benchmarking on multi-node clusters.

Skills

C++

Python

Linux

Systems programming

Education

CS/CE degree

Tools

CUDA

PyTorch

JAX

DeepSpeed

Job description

System Software Engineer - AI

About us:

We are a stealth‑mode startup building foundational technology to address performance, scalability, and resiliency challenges in large-scale AI data center clusters. We are backed by top‑tier VC firms and notable angel investors.

The company is led by experienced builders and operators who have founded companies, taken them to scale, and exited successfully. We work with a strong sense of unity and shared responsibility, and we expect trust, integrity, and respect in how we collaborate and make decisions. We hold ourselves accountable to one another and to the quality of the work we deliver.

We are looking for:

We are looking for a talented System Software Engineer to help us redefine the infrastructure layer of AI. In this role, you will bridge the gap between high‑level AI frameworks and low‑level system software. You will be responsible for designing and implementing the communication and execution primitives that allow large‑scale AI models to run efficiently across thousands of GPUs. We are looking for a "builder" who thrives in the early stages of a product’s lifecycle and is passionate about solving the "hard" systems problems of the generative AI era.

Key Responsibilities:

• Collaborate across the stack to influence the design of our foundational technology, ensuring it meets the needs of next‑generation AI models.
• Identify and resolve performance bottlenecks in distributed training and inference workloads through deep‑Dive analysis of the software‑hardware interface.
• Conduct rigorous performance benchmarking and characterization on multi‑node clusters.

Required Skills and Qualifications:

• Strong proficiency in C++ and Python, with a deep understanding of systems programming fundamentals (memory management, concurrency, OS internals).
• Proficient in a Linux development environment.

Desired Skills:

• Experience with GPU programming (CUDA) and performance optimization for parallel architectures.
• Familiarity with distributed AI frameworks (PyTorch, JAX, or DeepSpeed) and/or inference engines (vLLM, SGLang, Dynamo/TRT‑LLM).
• Hands‑on experience with large‑scale cluster orchestration and telemetry tools.

Education:

• Bachelor's or Master's degree in Computer Engineering, Computer Science, or a related field.

Location:

This is a hybrid role based in Palo Alto or Charlottesville, VA.

Compensation:

Target base salary for this role is $140,000 - $200,000 per year + meaningful equity + benefits + 401k. Our salary ranges are determined by role, level, experience, and location.

We are an equal opportunity employer. We value a range of perspectives and experiences and make employment decisions based on merit and business needs. We do not discriminate on the basis of legally protected characteristics.