Inference Optimization Engineer United States - Remote · Remote

Modular Mailing Systems, Inc.; Los Altos (CA); Hybrid; USD 198,000 - 286,000; Full time

Benefits offered by this job

Premier insurance plans

5% 401k matching

Flexible paid time off

Stock options

Team building events

Job summary

Modular Mailing Systems, Inc. is seeking an experienced Performance Engineer to optimize LLM inference on their cloud platform. This pivotal role involves building optimization infrastructures and collaborating with teams to enhance performance across GPUs and ASICs.

The ideal candidate will have over 5 years of experience in distributed systems, a track record in software tools development, and a collaborative mindset. Flexible hybrid work options are available. Exceptional benefits and competitive compensation packages are also included.

Qualifications

• 5+ years of experience in distributed systems or performance engineering.
• A track record of building reusable software tools and libraries.
• Creativity and curiosity in solving complex problems.

Responsibilities

• Build the optimization platform for LLMs on Modular Cloud.
• Shape technical direction for LLM performance.
• Partner with GTM team to deliver customized LLM inference.
• Publish blog posts on LLM inference optimization.

Skills

Distributed systems

Performance engineering

Software tools development

Technical leadership

Complex problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes

Cloud native technologies

Job description

About Modular

At Modular, we’re on a mission to revolutionize AI infrastructure by systematically rebuilding the AI software stack from the ground up. Our team, made up of industry leaders and experts, is building cutting‑edge, modular infrastructure that simplifies AI development and deployment. By rethinking the complexities of AI systems, we’re empowering everyone to unlock AI’s full potential and tackle some of the world’s most pressing challenges. If you’re passionate about shaping the future of AI and creating tools that make a real difference in people’s lives, we want you on our team. You can read about our culture and careers to understand how we work and what we value.

About the role

At Modular, we optimize inference from kernel to cloud on one unified stack. We are building a differentiated cloud platform that delivers state‑of‑the‑art inference performance from day one, then keeps getting better. As we learn the shape and patterns of each customer’s workload, the platform adapts and improves performance automatically over time. The Performance Labs team builds the infrastructure that makes this possible at scale. We continuously apply the latest optimizations across kernels, the inference engine, and distributed systems so that customer workloads stay on the Pareto frontier of cost and performance. We get there through deep workload insights, a scalable platform, and close collaboration with engineering and product teams. In this role you will dig into real customer inference workloads, profile them end to end, and apply the optimizations across kernels, engine, and distributed systems that push each workload toward the Pareto frontier. You will build the tooling and platform that turns one‑off performance wins into a repeatable, automated optimization loop, and you will work directly with engineering, product, and GTM to bring those gains to customers in production.

LOCATION

Candidates based in the US or Canada are welcome to apply. You can work in our office in Los Altos, CA or remotely from home. Onboarding for new hires is conducted in‑person in our Los Altos, CA office.

What you will do

• Build the optimization platform that drives inference performance of LLMs served on Modular Cloud to state‑of‑the‑art levels across the latest GPU and ASIC architectures.
• Shape the technical direction of Modular Cloud, delivering LLM performance on the Pareto frontier for agentic use cases and keeping it there as the landscape evolves.
• Partner closely with the GTM team to deliver highly customized LLM inference tuned to specific customer use cases, and collaborate across engineering to drive optimizations spanning the full stack, from GPU kernels to cloud infrastructure. Translate insights from customer engagements into technical direction for engineering teams.
• Publish blog posts on innovative approaches to LLM inference optimization that shape industry‑wide best practices.

What you bring to the table

• 5+ years of experience in distributed systems or performance engineering.
• A track record of building durable, reusable software tools and libraries that are adopted across teams and functions.
• Sound judgment in evaluating technical tradeoffs and setting priorities, paired with strong communication and technical leadership skills.
• Creativity and curiosity in solving complex problems, a collaborative and team oriented mindset, and alignment with our culture.

Helpful, but not required

• Experience with GPU kernel programming, inference engine internals, or distributed inference architectures.
• Experience with Kubernetes and cloud native ecosystems.
• Familiarity with modern LLM architectures and the latest inference optimization techniques.

What Modular brings to the table

• Amazing Team. We are a progressive and agile team with some of the industry’s best engineering and product leaders.
• World‑class Benefits. In order to attract the best, we need to offer the best. Premier insurance plans, up to 5% 401k matching, flexible paid time off, and more are available to you! Please note that specific benefit packages may vary based on your location.
• Competitive Compensation. We offer very strong compensation packages, including stock options. We want people to be focused on their best work and believe in tailoring compensation plans to meet the needs of our workforce.
• Team Building Events. We organize regular team onsite and local meetups in Los Altos, CA as well as different cities. Traveling 2‑4 times a year is expected for all roles.

Working at Modular will enable you to grow quickly as you work alongside incredibly motivated and talented people who have high standards, possess a growth mindset, and a purpose to truly change the world.

Estimated base salary range for this role to be performed in the US, regardless of the state, is $198,000.00 - $286,000.00 USD. The estimated base salary range for this role to be performed in Canada, regardless of the province, is $194,000.00 - $280,000.00 CAD. The salary for the successful applicant will depend on a variety of permissible, non‑discriminatory job‑related factors, which include but are not limited to education, training, work experience, business needs, or market demands. This range may be modified in the future. The total compensation for a candidate will also include annual target bonus, equity, and benefits, with equity making up a significant portion of your total compensation. For candidates who fall outside of the listed requirements, we nevertheless encourage you to apply as we may have openings that are lower/higher level than the ones advertised.

Equal Employment Opportunity

Modular is proud to emphasize an equal opportunity, safe environment for people to do their best work. Modular is an affirmative action employer. We are committed to providing equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Accommodations

If you require reasonable accommodations to participate in the interview process, please let your recruiter know, and we will work with you to meet your needs in compliance with the ADA.

E‑Verify

This employer participates in E‑Verify and will provide the federal government with your Form I‑9 information to confirm that you are authorized to work in the United States. If E‑Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E‑Verify once you have accepted a job offer and completed the Form I‑9.