📋 Description

• Develop high-throughput inference systems for internal AI models across SpaceX
• Architect scalable distributed model serving infrastructure with load balancing, auto-scaling
• Optimize model latency/throughput with GPU kernels, quantization, and decoding techniques
• Build reliable, high-concurrency serving systems with low latency and strong observability
• Own end-to-end components: routing, SDKs, rate limiting, and scaling for internal AI inference
• Benchmark, fine-tune, and accelerate inference engines (e.g., SGLang, vLLM, TensorRT-LLM)

🎯 Requirements

• Bachelor's in CS/engineering/math or 2+ years of software experience
• Experience designing and maintaining scalable distributed systems
• 1+ years of full-stack/backend development with production systems
• 1+ years coding in Rust or C++

🎁 Benefits

• Competitive compensation with Level 1-2 ranges
• Comprehensive medical, vision, dental coverage
• 401(k) plan and disability insurance
• Paid parental leave and vacation/time-off
• Sales of SpaceX equity options and employee stock purchase plan
• 10+ paid holidays and paid sick leave