Senior Machine Learning Systems Engineer

Atlassian; San Francisco (CA); Hybrid; USD 206,000 - 269,000; Full time

Benefits offered by this job

Health and wellbeing resources

Paid volunteer days

Benefits information

Job summary

At Atlassian, a Senior ML System Engineer on the AI & ML Platform team will design and optimize large-scale model serving systems end-to-end, handling distributed infrastructure and low-level optimizations for production workloads.

The role requires deep expertise in C/C++ or Rust, GPU inference, and scalable, high-concurrency serving, with collaboration on CI/CD pipelines and deployment of open-source LLMs.

Qualifications

• 5+ years of software engineering experience.
• 2+ years of system performance optimization experience.
• Deep low-level systems programming (C/C++ or Rust).
• Experience with large-scale, high-concurrent production serving.

Responsibilities

• Architect and implement scalable distributed infrastructure for model serving (load balancing, auto-scaling, batch scheduling, global KV cache).
• Optimize latency and throughput of model inference under real production workloads.
• Build reliable, high-concurrency serving systems that serve billions of requests reliably.
• Benchmark, fine-tune, and accelerate inference engines.
• Create robust CI/CD infrastructure for seamless model deployment and inference engine updates.
• Partner with senior ML engineers to fine‑tune open-source LLMs and deploy

Skills

Software engineering

System performance optimization

Low-level systems programming

Tools

vLLM, SGLang, Triton, TensorRT-LLM

Job description

Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.

Overview

Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.

About The Central AI Org

Our organization is dedicated to driving AI innovation across all Atlassian products and platforms. We aim to deliver seamless AI experiences while establishing a robust Atlassian AI infrastructure for the future. Our purpose is to:

• Develop horizontal AI capabilities and infrastructure that can be leveraged across all products.
• Establish a centralized Search, Q&A, and Conversational AI system that integrates seamlessly with all Atlassian products.
• Explore integrating Atlassian products with AI solutions beyond the Atlassian ecosystem.

About the AI & ML Platform Team

• Our team’s goal is to build the foundations to democratize AI and Machine Learning for Atlassian’s teams, customers, and ecosystem. We aim to build productive, reliable tools that empower Atlassian teams to harness AI. These tools will facilitate the development, deployment, measurement, and operation of AI & ML models and experiences.

Responsibilities

About This Role

Senior ML System Engineer On The AI & ML Platform’s Inference Team, You Will Design And Optimize Large-scale Model Serving Systems End-to-end. You Will Own Everything From Distributed Infrastructure (global KV Cache, Continuous Batching, Load Balancing, Auto-scaling) To Deep Low-level Optimizations (GPU Kernels, Quantization, Speculative Decoding). In This Role, You Are Expected To:

• Architect and implement scalable distributed infrastructure for model serving (load balancing, auto-scaling, batch scheduling, global KV cache).
• Optimize latency and throughput of model inference under real production workloads.
• Build reliable, high-concurrency serving systems that serve billions of requests reliably
• Benchmark, fine-tune, and accelerate inference engines.
• Create robust CI/CD infrastructure for seamless model deployment and inference engine updates.
• Partner with senior ML engineers to fine‑tune open-source LLMs and deploy

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. This role may also be eligible for benefits, bonuses, commissions, and equity.

Pay Ranges

In The United States, We Have Three Geographic Pay Zones. For This Role, Our Current Base Pay Ranges For New Hires In Each Zone Are:

Zone A:

$206,100 - $269,075

Zone B:

$185,490 - $242,168

Zone C:

$171,063 - $223,332

Qualifications

On your first day, we’ll expect you to have

• 5+ years of software engineering experience, 2+ years of system performance optimization experience
• Deep low-level systems programming (C/C++ or Rust)
• Experience with large-scale, high-concurrent production serving.
• Experience with GPU inference engines (vLLM, SGLang, Triton, TensorRT-LLM, etc.).
• Strong background in system optimizations: batching, caching, load balancing, parallelism.

It would be great, but not required if you have

• Low-level inference optimizations: GPU kernels
• Algorithmic inference optimizations: quantization, speculative decoding, distillation
• Experience with testing, benchmarking, and reliability of inference services.
• Experience designing and implementing CI/CD infrastructure for inference.

Benefits & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit
go.atlassian.com/perksandbenefits .

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or