Forward Deployed Engineer, AI Inference (vLLM and Kubernetes) Job at Red Hat, Boston, MA

WG80d0dzQktXS2pPVmpzSHRVUE03SjdUcEE9PQ==
  • Red Hat
  • Boston, MA

Job Description

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Red Hat. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.

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.
  • Travelonly 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

The salary range for this position is $189,600.00 - $312,730.00. Actual offer will be based on your qualifications.

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 Hat’s 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 world’s 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. We're 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 Hat’s 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.

Equal Opportunity Policy (EEO)

Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com . General inquiries, such as those regarding the status of a job application, will not receive a reply.

If you have questions about this posting, please contact support@lensa.com

Job Tags

Permanent employment, Full time, Contract work, Work experience placement, Work at office, Remote work, Flexible hours,

Similar Jobs

Amazon.com Services LLC

Amazon Robotics - 2026 Supply Chain Intern/Co-op, Robotics Supply Chain Job at Amazon.com Services LLC

 ...Answer yes to these questions and you'll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to...  ...experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology... 

Planet Fitness

Fitness Trainer Job at Planet Fitness

 ...Grow with us! We are Excel Fitness, a Planet Fitness franchise group based out of Austin, TX with 80+ clubs and growing! Since 20...  ...veterano protegido o cualquier otra caracterstica protegida por la ley. JOIN THE CLUB. Enhancing peoples lives with an affordable... 

Wyndy

Nanny for Infant Job at Wyndy

 ...A wonderful family is seeking a caring, responsible nanny for their 5-month-old baby girl in Vilonia, AR. Mom works remotely from home...  ...each nanny has at least two days of availability. Family has travel planned from Feb 24-28 and March 11-14, so nanny will not be needed... 

Ace Hardware

Loader - FT Job at Ace Hardware

 ...friendly, and helpful team members who will frequently interact with customers while loading merchandise by hand or forklift as well as unloading/loading trucks by hand or forklift. In addition the Loader/Driver is responble for the assembly of merchandise such as grills,... 

Mercy

Therapy Services Technician, FT, Days - Horsebarn Rd. Job at Mercy

Find your calling at Mercy! Position Details: We're a Little Different Our mission is clear. We bring to life a healing ministry through our compassionate care and exceptional service. At Mercy, we believe in careers that match the unique gifts of unique individuals - careers...