Skip to content
aitrainer.work - AI Training Jobs Platform
Engineering Full-Time
Palantir

Software Engineer - Edge AI Systems (US)

Palantir • Seattle, WA

Company

Palantir

Annual salary

$145k – $275k/yr

Location

Seattle, WA

Listed

106d ago

Experience:
4 to 10 years
Workplace:
Hybrid in Seattle. We are only hiring candidates who live in or are willing to relocate to Seattle for this position.
Visa:
Visa sponsorship not available
Equity:
RSUs

Hybrid in Seattle, WA. Visa sponsorship not available.

Send us your LinkedIn and CV. If your experience fits, we'll introduce you to the recruiter filling this role.

Apply for a referral →

The recruiter emails you before anything happens and may suggest other jobs that suit you better.

About this Role

We are seeking an experienced Software Engineer to join a newly-formed team focused on developing and deploying advanced AI systems to the tactical edge. This role involves training, evaluating, and deploying LLM agents to edge hardware for interfacing with sensors, effectors, and drone systems. This project is in support of multiple customers in the defense sector that are looking for untethered AI solutions that can be rapidly deployed downrange on hardware with limited capabilities. As a part of this team, you will build and deploy specialized models and agents that can run on tactical edge hardware, working alongside other experts in AI, LLMs, and systems to shape solutions that redefine complex tactical defense scenarios.

What you'll do

  • Train and fine-tune edge-capable LLMs for tactical defense applications
  • Optimize model performance for various edge hardware (GPU, CPU, and specialized accelerator) platforms
  • Design and implement multi-agent systems for various mission scenarios
  • Interface LLM agents with sensors, effectors, and drone systems
  • Benchmark and evaluate agent capabilities, performance, and reliability
  • Engineer scalable, reliable, and fail-safe systems capable of functioning in high-stakes environments

What We Value

  • Proven experience in AI model development, training, and fine-tuning

  • Experience building LLM agent systems using direct LLM API calls, or frameworks such as LangChain

  • Experience optimizing AI models and runtime performance for edge hardware

  • Familiarity with edge AI optimization tools including Ollama, Mojo, TVM, TF Lite, and vLLM

  • Experience working in the defense sector, especially with weapon and UxV systems, is highly desirable

  • Ability to manage complexity, optimize for performance, and think critically under pressure

  • Experience deploying and maintaining robust production systems

What We Require

  • 5+ years of professional software development experience

  • 2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and existing systems

  • Experience building and deploying LLMs and LLM agents using modern frameworks such as PyTorch, HuggingFace Transformers, LangChain, and vLLM

  • Strong proficiency in Rust, Python, or C++

  • Bachelor's/Master's/PhD in Computer Science, Physics, Mathematics, or related fields

  • Active US Security clearance or eligibility and willingness to obtain a US Security clearance

Frequently Asked Questions

How do I apply for the Software Engineer - Edge AI Systems (US) role at Palantir? +

Use the Apply for a referral button on this page to send us your LinkedIn and CV. If your experience fits, we'll introduce you to the recruiter filling this role. They'll email you to check you're interested, then put you forward for this job or others that suit you better. It's free.

What does this Palantir role pay? +

The listing gives $145k – $275k/yr.

Is this role remote? +

The listing gives the location as Seattle, WA. Hybrid in Seattle. We are only hiring candidates who live in or are willing to relocate to Seattle for this position. Visa sponsorship not available.

Related Roles

Palantir

Browse all startup roles

Salaried roles at startups, AI companies and established businesses, all filled by referral. One application covers every role.

View all startup roles →