Senior Software Engineer - AI Inference

Bloomberg; New York (NY); On-site; USD 160,000 - 240,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Disability benefits (short & long term

401(k) + match

Life insurance

Wellness programs

Job summary

Bloomberg is building core AI infrastructure to host, deploy, and serve ML models with guaranteed scalability, performance, and governance. The AI Inference platform leverages KServe and open-source tools to empower teams while abstracting infrastructure complexity.

You will design scalable online/offline inference systems, optimize performance, and drive architecture decisions across the platform, mentoring engineers and collaborating with cross-functional teams in New York.

Qualifications

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

Responsibilities

• Design and build scalable infrastructure for online and offline inference workloads.
• Lead integration of high-performance inference runtimes and serving frameworks.
• Drive architecture decisions balancing latency, throughput, reliability, and cost.
• Partner with engineering teams to improve model deployment, observability, and performance.
• Mentor junior engineers on system design, debugging, and performance optimization.

Skills

Distributed systems design

Performance optimization

Object-oriented programming

Kubernetes

PyTorch

CUDA

NCCL

TensorRT

ONNX

Triton

Education

Degree in Computer Science or Electrical Engineering

Tools

KServe

TensorRT

ONNX

Triton

Kubernetes

CUDA

NCCL

PyTorch

Job description

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.

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