Forward Deployed Engineer, AI Inference (vLLM and Kubernetes)

The vLLM and LLM-D Engineering team at Red Hat is looking for a customer obsessed developer to join our team as a Forward Deployed Engineer. In this role you will not just build software; you will be the bridge between our cutting-edge inference platform (LLM-D and vLLM) and our customers most critical production environments.

You will interface directly with the engineering teams at our customer to deploy optimize and scale distributed Large Language Model (LLM) inference systems. You will solve last mile infrastructure challenges that defy off-the-shelf solutions ensuring that massive models run with low latency and high throughput on complex Kubernetes clusters. This is not a sales engineering role you will be part of the core vLLM and LLM-D engineering team.

What You Will Do

• Orchestrate Distributed Inference: Deploy and configure LLM-D and vLLM on Kubernetes clusters. You will set up and configure advanced deployment like disaggregated serving KV-cache aware routing KV Cache offloading etc to maximize hardware utilization.

• Optimize for Production: Go beyond standard deployments by running performance benchmarks tuning vLLM parameters and configuring intelligent inference routing policies to meet SLOs for latency and throughput. You care about Time Per Output Token (TPOT) GPU utilization GPU networking optimizations and Kubernetes scheduler efficiency.

• Code Side-by-Side: Work directly with customer engineers to write production-quality code (Python/Go/YAML) that integrates our inference engine into their existing Kubernetes ecosystem.

• Solve the Unsolvable: Debug complex interaction effects between specific model architectures (e.g. MoE large context windows) hardware accelerators (NVIDIA GPUs AMD GPUs TPUs) and Kubernetes networking (Envoy/ISTIO).

• Feedback Loop: Act as the Customer Zero for our core engineering teams. You will channel field learnings back to product development influencing the roadmap for LLM-D and vLLM features.

• Travel only as needed to customers to present demo or help execute proof-of-concepts.

What You Will Bring

• 8 Years of Engineering Experience: You have a decade-long track record in Backend Systems SRE or Infrastructure Engineering.

• Customer Fluency: You speak both Systems Engineering and Business Value.

• Bias for Action: You prefer rapid prototyping and iteration over theoretical perfection. You are comfortable operating in ambiguity and taking ownership of the outcome.

• Deep Kubernetes Expertise: You are fluent in K8s primitives from defining custom resources (CRDs Operators Controllers) to configuring modern ingress via the Gateway API. You have deep experience with stateful workloads and high-performance networking including the ability to tune scheduler logic (affinity/tolerations) for GPU workloads and troubleshoot complex CNI failures.

• AI Inference Proficiency: You understand how a LLM forward pass works. You know what KV Caching is why prefill/decode disaggregation matters why context length impacts performance and how continuous batching works in vLLM.

• Systems Programming: Proficiency in Python (for model interfaces) and Go (for Kubernetes controllers/scheduler logic).

• Infrastructure as Code: Experience with Helm Terraform or similar tools for reproducible deployments.

• Cloud & GPU Hardware Fluency: You are comfortable spinning up clusters and deploying LLMs on bare-metal and hyperscaler Kubernetes clusters

Following is considered a plus

• Experience contributing to open-source AI infrastructure projects (e.g. KServe vLLM Kubernetes).

• Knowledge of Envoy Proxy or Inference Gateway (IGW).

• Familiarity with model optimization techniques like Quantization (AWQ GPTQ) and Speculative Decoding.

#AI-HIRING

#LI-MD2

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location experience applicable skills and training external market value and internal pay equity. Annual salary is one component of Red Hats compensation package. This position may also be eligible for bonus commission and/or equity. For positions with Remote-US locations the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

About Red Hat

Red Hat is the worlds leading provider of enterprise open source software solutions using a community-powered approach to deliver high-performing Linux cloud container and Kubernetes technologies. Spread across 40 countries our associates work flexibly across work environments from in-office to office-flex to fully remote depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas no matter their title or tenure. Were a leader in open source because of our open and inclusive environment. We hire creative passionate people ready to contribute their ideas help solve complex problems and make an impact.

Benefits
Comprehensive medical dental and vision coverage
Flexible Spending Account - healthcare and dependent care
Health Savings Account - high deductible medical plan
Retirement 401(k) with employer match
Paid time off and holidays
Paid parental leave plans for all new parents
Leave benefits including disability paid family medical leave and paid military leave
Additional benefits including employee stock purchase plan family planning reimbursement tuition reimbursement transportation expense account employee assistance program and more!

Note: These benefits are only applicable to full time permanent associates at Red Hat located in the United States.

Inclusion at Red Hat
Red Hats culture is built on the open source principles of transparency collaboration and inclusion where the best ideas can come from anywhere and anyone. When this is realized it empowers people from different backgrounds perspectives and experiences to come together to share ideas challenge the status quo and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access and that all voices are not only heard but also celebrated. We hope you will join our celebration and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

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