Software Engineer

Software Engineer – Edge AI SystemsLocation - Seattle, WA (Hybrid) - Hybrid work arrangement based in Seattle with up to 25% travel to customer and deployment sites.Compensation - $145,000 – $275,000 Base + RSUsVisa - US Citizens Only (Must be eligible for US Security Clearance)Company - Palantir TechnologiesIndustry - Artificial Intelligence, Defense Technology, Edge AI, Autonomous Systems, Robotics, Distributed Systems, National SecurityAbout the CompanyPalantir is building next-generation AI systems that operate at the tactical edge, enabling autonomous decision-making across defense and national security environments.The Edge AI Systems team develops advanced LLM-powered autonomous systems capable of running directly on constrained edge hardware. These systems integrate with drones, sensors, radar platforms, autonomous vehicles, and mission-critical defense infrastructure where reliability, latency, and security are essential.Working directly with defense customers, engineers rapidly build, evaluate, deploy, and optimize AI agents capable of operating in disconnected environments with limited compute resources. This team combines cutting-edge research with production engineering, deploying AI systems into real-world tactical environments.As a Software Engineer on the Edge AI Systems team, you'll work across AI infrastructure, model optimization, edge deployment, distributed systems, and autonomous agent development while collaborating closely with AI researchers, systems engineers, and defense customers.This is an opportunity to work on some of the most technically ambitious AI systems being deployed today while solving complex engineering problems at the intersection of LLMs, robotics, edge computing, and national security.What You'll DoDesign and build production-grade Edge AI systems for tactical defense applicationsTrain, fine-tune, and deploy LLMs optimized for constrained edge hardwareDevelop autonomous multi-agent systems supporting mission-critical workflowsIntegrate AI agents with drones, sensors, effectors, robotics, and autonomous systemsOptimize model inference across CPUs, GPUs, and specialized edge acceleratorsBenchmark, evaluate, and improve agent reliability, latency, and performanceBuild scalable AI infrastructure supporting production deploymentsDevelop robust software capable of operating in disconnected and resource-constrained environmentsImplement reliable, fault-tolerant distributed systems for high-stakes deploymentsCollaborate closely with AI researchers, systems engineers, and defense customersImprove model runtime performance using modern optimization techniquesBuild production AI systems using PyTorch, Hugging Face, LangChain, vLLM, and related frameworksParticipate in customer deployments and operational testingHelp shape the future architecture of Palantir's Edge AI platformIdeal Candidate BackgroundExperience Requirements4–10 years of professional software engineering experienceExperience building production AI or distributed systemsExperience developing LLM applications or AI agent systemsExperience deploying production software in high-reliability environmentsExperience contributing to large-scale system architectureExperience building software requiring performance optimizationExperience operating production systems supporting mission-critical applicationsExperience collaborating across engineering, product, and customer teamsStrong ownership mentality with experience delivering complex technical projectsExperience in defense, robotics, aerospace, autonomous systems, or applied AI preferredTechnical RequirementsStrong Python, Rust, or C++ programming experienceExperience building LLM-powered applications or AI agentsStrong understanding of distributed systems and scalable architecturesExperience with PyTorch, Hugging Face Transformers, LangChain, or vLLMExperience deploying AI models into productionExperience optimizing inference performance for edge hardwareExperience with multi-agent architectures and agent orchestrationExperience with model evaluation, benchmarking, and testingStrong systems programming and debugging skillsExperience building reliable production infrastructureFamiliarity with edge AI optimization tools (TVM, Ollama, TensorFlow Lite, Mojo, etc.) preferredStrong software testing and reliability engineering practicesEducationBachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, or related quantitative fieldStrong computer science fundamentalsStrong understanding of algorithms, distributed systems, and software architectureSoft SkillsExceptional problem-solving abilityStrong engineering ownershipExcellent communication skillsComfortable working directly with customersHigh execution velocityComfortable operating in ambiguous environmentsStrong systems thinkingPassion for AI, distributed systems, and autonomous technologiesAbility to work on highly complex engineering challengesWillingness to travel for customer deploymentsCompensation & BenefitsBase Salary: $145,000 – $275,000RSUsComprehensive Medical, Dental & Vision InsuranceRetirement BenefitsHybrid Work EnvironmentOpportunity to work directly with cutting-edge AI systemsExposure to advanced LLM, autonomous systems, and defense technologiesWork alongside world-class AI researchers and engineersDirect customer deployment experienceOpportunity to build AI systems operating in real-world tactical environmentsWhy JoinThis is an opportunity to help build some of the world's most advanced Edge AI systems operating in real-world defense environments.You'll work on cutting-edge LLM agents, autonomous systems, edge optimization, and distributed AI platforms that directly interact with drones, sensors, robotics, and tactical hardware.If you enjoy solving extremely difficult engineering problems, deploying AI systems into production, working across software and hardware boundaries, and building technology that operates where reliability truly matters, this role offers exceptional technical depth and impact.