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Member of Technical Staff, Software Engineer

Fireworks AI

Member of Technical Staff, Software Engineer

Fireworks AI

New York, NY; San Mateo, CA

·

On-site

·

Full-time

·

2w ago

About Us:

At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta Py Torch and Google Vertex AI.

The Role

You’ll help build the core systems powering Fireworks AI — from customer-facing APIs and product features to the distributed infrastructure running AI workloads at scale.

This is a true full-stack backend + infra role. You’ll design systems, ship product, and own everything end-to-end, not just tickets.

What You’ll Work On

  • APIs, web backend, and developer tooling

  • Model training, fine-tuning, and inference orchestration

  • Job scheduling, autoscaling, and model serving

  • Billing, enterprise features, and access control

  • Cross-cloud infrastructure (compute, storage, networking)

  • Global scale GPU cluster management

What You’ll Do

  • Build and scale backend services and distributed systems

  • Own systems from design → production → reliability

  • Work directly with customers to solve real problems

  • Optimize performance, cost, and developer experience

  • Move fast and use AI tools to automate everything you can

You Might Be a Fit If

  • You cannot wait to jump into the forefront of AI revolution

  • You like to build infrastructure and backend that are directly contributing to products

  • You think in systems, tradeoffs, and impact

  • You take ownership and drive things across teams

Requirements

  • 5+ years building backend or infrastructure systems

  • Strong distributed systems fundamentals

  • Experience with cloud (AWS/GCP/Azure)

  • Familiar with ML/AI tooling or platforms

  • Comfortable working with both humans and AI systems

Bonus

  • Experience with large-scale ML infrastructure

  • Kubernetes / cloud-native stack

  • Infra-as-code, CI/CD, or open-source contributions

Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.

Base Pay Range (Plus Equity)$175,000—$220,000 USD

Why Fireworks AI?

  • Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.

  • Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.

  • Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.

  • Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.

Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

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About Fireworks AI

Fireworks AI

Fireworks AI

Series A

Fireworks AI provides generative AI inference and fine-tuning platform for developers and enterprises. The company offers high-performance API services for running large language models and other generative AI workloads.

51-200

Employees

San Francisco

Headquarters

$1.2B

Valuation

Reviews

3.8

26 reviews

Work-life balance

3.5

Compensation

4.2

Culture

3.8

Career

4.0

Management

3.6

79%

Recommend to a friend

Pros

Supportive team and management

Opportunity for career growth

Interesting projects and challenges

Cons

Internal communication could improve

Career progression could be clearer

Work-life balance varies by team

Salary Ranges

0 data points

Senior

Senior · Sales

0 reports

$241,200

total per year

Base

-

Stock

-

Bonus

-

$204,020

$278,380

Interview experience

43 interviews

Difficulty

3.1

/ 5

Duration

14-28 weeks

Offer rate

41%

Experience

Positive 60%

Neutral 21%

Negative 19%

Interview process

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

Common questions

Technical skills

Past experience

Team collaboration

Problem solving