# Software Engineer

**Company**: Palantir
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $145,000 - $200,000/year
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/palantir/67110929-adea-41c3-851a-8882e222d9e4?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_02c4b858-403

## Description

Palantir is seeking an experienced Software Engineer to join a newly-formed team focused on developing and deploying advanced AI systems to the tactical edge. The role involves training, evaluating, and deploying LLM agents to edge hardware for interfacing with sensors, effectors, and drone systems.

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.

## Core Responsibilities

- 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

## Additional Information

## Salary

The salary range for this position is estimated to be $145,000 - $200,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives.

## Benefits

- Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance

- Employees are automatically covered by Palantir’s basic life, AD&D and disability insurance

- Commuter benefits

- Relocation assistance

- Take what you need paid time off, not accrual based

- 2 weeks paid time off built into the end of each year (subject to team and business needs)

- 10 paid holidays throughout the calendar year

- Supportive leave of absence program including time off for military service and medical events

- Paid leave for new parents and subsidized back-up care for all parents

- Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation

- Stipend to help with expenses that come with a new child

- Employees can enroll in Palantir’s 401k plan

## Skills

### Required
- AI model development
- LLM agent systems
- edge hardware optimization
- Rust
- Python
- C++
- PyTorch
- HuggingFace Transformers
- LangChain
- vLLM

### Nice to have
- experience working in the defense sector
- familiarity with edge AI optimization tools

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Source: [Apply at jobs.lever.co](https://jobs.lever.co/palantir/67110929-adea-41c3-851a-8882e222d9e4?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)