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PalantirPosted 6 months ago

Senior Software Engineer - Autonomous Systems

$145,000–$200,000 year

On-siteNew York, United States

Full TimeSenior LevelLarge

Job Summary

Design, implement, and optimize software for mission-critical autonomous systems using modern technologies and methodologies. Develop algorithms to process data from heterogeneous sensors for real-time state estimation and threat detection. Build LLM and AI-driven systems capable of assessing threats and rapidly making decisions to deploy responses. Engineer scalable, reliable, and fail-safe systems for high-stakes operational and tactical missions. Partner with multidisciplinary teams including robotics experts and hardware engineers to deliver integrated solutions for Command and Control and Agentic Autonomy Software. This role requires 5+ years of professional software development experience and proficiency in Rust, Python, C++, or Java. Candidates must hold an active US Security clearance or eligibility. The position is onsite or hybrid based on business need.

Required Qualifications

  • 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
  • 2+ years of experience as a mentor, tech lead or leading an engineering team
  • Strong proficiency in Rust, Python, C++, or Java
  • Bachelor's/Master's/PhD in Computer Science, Robotics, Electrical Engineering, or related fields
  • Active US Security clearance or eligibility and willingness to obtain a US Security clearance

Desired Qualifications

  • Proven experience in software development for autonomous systems, embedded systems, or robotics
  • Knowledge of AI/ML, sensor processing, or swarm behaviors
  • Knowledge of LLM toolchains and implementation of agents into complex real time data workflows
  • Ability to manage complexity, optimize for performance, and think critically under pressure
  • Experience deploying and maintaining robust production systems

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