Fireworks AI
Member of Technical Staff, LLM Infrastructure
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · San Mateo
Employer listed it 11 months ago · Added yesterday
Been open since 11 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
$175,000 to $220,000
Location
Hybrid · San Mateo
Timezone
Not stated
Contract
Full-time
Experience
Lead
Category
Software
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around San Mateo, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "San Mateo, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
About Us:
Fireworks 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.
The Role:
As 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.
Our 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.
Key Responsibilities:
Contribute to the design and development of scalable backend infrastructure that supports distributed training, inference, and data pipelines
Build and maintain core backend services such as LLM CI/CD pipeline, control plane, and model serving systems
Support performance optimization, cost efficiency, and reliability improvements across compute, storage, and networking layers
Building frameworks and safeguards to ensure Fireworks AI has the best model quality in the industry
Collaborate with performance, training, and product teams to translate research and product needs into infrastructure solutions
Participate in code reviews, technical discussions, and continuous integration and deployment processes
Minimum Qualifications:
Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
3 years of experience in software engineering, with a focus on infrastructure or machine learning systems
Strong programming skills in Python, Go, or a similar language
Proven experience in ML infrastructure and tooling (e.g., PyTorch, MLflow, Vertex AI, SageMaker, Kubernetes, etc.).
Basic understanding of LLM knowledge (e.g., context length, disaggregated prefill, KV cache memory estimation, etc)
Preferred Qualifications:
5+ years of experience in software engineering, with a focus on infrastructure or machine learning systems
Experience with open source inference engine like vLLM, Sglang, or TRT-LLM
Contributions to open-source infrastructure or ML projects
Experience in building large scale ML/MLOps infrastructure
Why Fireworks?
Requirements
- ·Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
- ·3 years of experience in software engineering, with a focus on infrastructure or machine learning systems
- ·Strong programming skills in Python, Go, or a similar language
- ·Proven experience in ML infrastructure and tooling (e.g., PyTorch, MLflow, Vertex AI, SageMaker, Kubernetes, etc.).
- ·Basic understanding of LLM knowledge (e.g., context length, disaggregated prefill, KV cache memory estimation, etc)
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Fireworks AI, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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