{"id":56782,"url":"https://alion.io/job/fireworks-software-engineer-llm-infrastructure","title":"Member of Technical Staff, LLM Infrastructure","company":{"id":18243,"name":"Fireworks AI","domain":"fireworks.ai","url":"https://alion.io/company/fireworks","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":81,"open_postings":14,"ghost_share":0,"stale_share":0.571,"repost_share":0,"time_to_fill_p50_days":60,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Mateo, United States","New York, United States","Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":175000,"max":220000,"currency":"USD","period":"year","gross":null,"usd_annual":220000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"CI/CD","optional":false},{"name":"Fireworks AI","optional":false},{"name":"Go","optional":false},{"name":"Kubernetes","optional":false},{"name":"KV Cache","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Vertex AI","optional":false},{"name":"Multimodal AI","optional":true},{"name":"SGLang","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2025-11-05T16:54:08Z","employer_posted_date":"2025-11-05","last_verified_at":"2026-10-28T15:49:52Z","board_verified":true,"closed_at":null,"days_open":357,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":356},"description":"About Us:\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\nThe Role:\nAs a Software Engineer on our AI Infrastructure team, you will help design the core systems that power Fireworks AI’s generative AI platform. You will help build infrastructure and tools that ensure the reliability, performance, quality, and availability of our AI system.\nOur mission is to make Fireworks AI the most reliable and user friendly generative AI platform in the world. You will partner closely with our cloud infrastructure team, product team, and performance team to deliver infrastructure that bridges the gap between our customer and the ultra-performant proprietary Fireworks inference engine.\nKey Responsibilities:\nContribute to the design and development of scalable backend infrastructure that supports distributed training, inference, and data pipelines\n\nBuild and maintain core backend services such as LLM CI/CD pipeline, control plane, and model serving systems\n\nSupport performance optimization, cost efficiency, and reliability improvements across compute, storage, and networking layers\n\nBuilding frameworks and safeguards to ensure Fireworks AI has the best model quality in the industry\n\nCollaborate with performance, training, and product teams to translate research and product needs into infrastructure solutions\n\nParticipate in code reviews, technical discussions, and continuous integration and deployment processes\n\nMinimum Qualifications:\nBachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)\n\n3 years of experience in software engineering, with a focus on infrastructure or machine learning systems\n\nStrong programming skills in Python, Go, or a similar language\n\nProven experience in ML infrastructure and tooling (e.g., PyTorch, MLflow, Vertex AI, SageMaker, Kubernetes, etc.).\n\nBasic understanding of LLM knowledge (e.g., context length, disaggregated prefill, KV cache memory estimation, etc)\n\nPreferred Qualifications:\n5+ years of experience in software engineering, with a focus on infrastructure or machine learning systems\n\nExperience with open source inference engine like vLLM, Sglang, or TRT-LLM\n\nContributions to open-source infrastructure or ML projects\n\nExperience in building large scale ML/MLOps infrastructure\n\nWhy Fireworks?\nSolve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\nBuild What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\nOwnership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI-no bureaucracy, just results.\n\nLearn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. 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