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Executive Application Software Engineer Jobs (NOW HIRING)

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As of Jun 26, 2026, the average hourly pay for executive application software engineer in the United States is $59.59, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $66.83 per hour, depending on experience, location, and employer.
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Application Software Engineer, Inference

Application Software Engineer, Inference

SpaceX

Palo Alto, CA • On-site

Full-time

Posted 8 days ago


SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

14th of 60 rated aerospace companies


Job description

Job Summary:
SpaceX is a pioneering aerospace company focused on making space exploration a reality. They are seeking an Application Software Engineer for their inference team to develop and optimize high-performance AI inference systems that support mission-critical applications at SpaceX.
Responsibilities:
• Develop highly reliable, high-throughput inference systems that serve the best AI models internally across SpaceX
• Architect and implement scalable distributed infrastructure for model serving, including load balancing, auto-scaling, batch scheduling, global KV cache, and continuous batching
• Optimize latency and throughput of model inference under real production workloads, including low-level GPU kernel work, quantization, speculative decoding, and other acceleration techniques
• Build reliable, high-concurrency serving systems with 100% uptime, low tail latency, and excellent observability
• Own end-to-end components such as request routing, SDK development, rate limiting, and efficient scaling for internal SpaceX AI inference platforms
• Benchmark, fine-tune, and accelerate inference engines (e.g., SGLang, vLLM, TensorRT-LLM)
• Develop custom tools for tracing, replaying, and resolving issues across the full stack — from orchestration down to GPU kernels
• Create robust CI/CD infrastructure for seamless endpoint deployment, image publishing, and inference engine updates
• Collaborate across SpaceXAI teams to integrate inference capabilities into broader systems and workflows
Qualifications:
Required:
• Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree
• Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems
• 1+ years of experience in full stack development or backend development with production systems
• 1+ years of experience with Rust or C++
• You may be asked to work extended hours/weekends dependent on launch cadence and platform demands
• This role requires you to be onsite in Palo Alto. Remote and/or hybrid work will not be considered
Preferred:
• Experience with LLM inference engines and serving frameworks (e.g., SGLang, vLLM, Triton, TensorRT-LLM)
• Deep low-level systems programming and optimizations: GPU kernels, code generation, batching, caching, parallelism, quantization, and speculative decoding
• Experience with large-scale, high-concurrency production serving systems
• Knowledge of service observability and reliability best practices
• Experience operating commonly used databases such as PostgreSQL, ClickHouse, or MongoDB
• Experience designing or building with agent SDKs and agent orchestration frameworks
• Experience with Docker, Kubernetes, and containerized applications
• Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping)
• Programming experience in Python, Go, or similar languages
• Experience with version control, continuous integration, continuous delivery, build systems, and monitoring
• Expertise in profiling and improving application performance
Company:
SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in 2002, the company is headquartered in Hawthorne, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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