Senior Software Engineer - AI Inference

AI in this role

vllmpytorch

Our team: Join the team that is building the core infrastructure for AI at Bloomberg. The Bloomberg AI Inference Platform provides production-grade managed infrastructure for hosting, deploying, and serving all machine learning models, both predictive and cutting-edge generative models. We abstract away infrastructure complexity, empowering engineering teams to focus on creating intelligent applications with guaranteed scalability, performance, and governance. Our platform is built on the open-source KServe project, and the CNCS AI Inference team is a primary contributor to its development.
We'll trust you to:

Design and build scalable infrastructure for both online and offline inference workloads.
Lead integration of high-performance inference runtimes and serving frameworks, including TensorRT, vLLM, ONNX, and Triton.
Drive architecture and technical decisions across Bloomberg’s inference platform, balancing latency, throughput, reliability, and cost.
Partner across engineering teams to improve model deployment, observability, and production performance.
Mentor junior engineers on system design, debugging, and performance optimization.

You'll need to have:

5+ years of professional software engineering experience.
Experience designing, building, and operating production distributed systems.
Strong systems intuition and a track record of debugging and optimizing performance-critical services.
Ability to own problems end-to-end and quickly ramp up in unfamiliar technical areas.
4+ years of demonstrated experience working with an object-oriented programming language.
A degree in Computer Science, Electrical Engineering, or equivalent practical experience.

We'd love to see:

Experience deploying and operating machine learning systems at scale.
Experience with inference optimization techniques such as batching, caching, request scheduling, or memory-aware serving.
Familiarity with PyTorch and GPU software stacks such as CUDA and NCCL.
Exposure to high-performance interconnects and distributed computing technologies such as NVLink, InfiniBand, or MPI.
Experience with Kubernetes and cloud-native infrastructure.
Experience with load balancing, request routing, or traffic management systems.

Representative projects:

Autoscaling a heterogeneous compute fleet to match supply and demand aross diverse inference workloads.
Building production-grade deployment pipelines to safely roll out new models to millions of users.
Developing new inference capabilities such as structured sampling, prompt caching, and advanced serving optimizations.
Analyzing observability data from real production workloads to improve latency, throughput, and resource efficiency.

Salary Range = 160,000 - 240,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

How we rate this

Senior Software Engineer - AI Inference at Bloomberg rates 96 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

vLLMPyTorch

Questions you could be asked

What's a project where you used vLLM hands-on?
Walk me through how you've used PyTorch in your day-to-day work.
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: vLLM and PyTorch. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get a free CV review

Get new software engineer jobs (Builds AI ●●●●) by email

One email a week with the new software engineer jobs (Builds AI ●●●●), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Also alert me for new jobs at Bloomberg

Free. One email a week. Unsubscribe in one click.