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We are seeking senior engineers to pioneer new methodologies for accurately assessing the performance of ground-breaking deep learning models, including LLMs, RAG, agents, and vision models. You will collaborate across the organization to bring the latest flagship models from our community and partners—such as Gemma and Llama-3—to life as optimized NVIDIA Inference Microservices (NIM). This role offers an outstanding opportunity to craft the future of AI at a fast-growing company at the forefront of the AI revolution. Join our team of world-class software engineers and partners to deliver the most advanced models with lightning-fast inference. You’ll work on the most powerful, enterprise-grade GPU clusters capable of hundreds of PetaFLOPS and gain early access to unreleased hardware, making a direct impact on NVIDIA’s roadmap and the broader AI landscape!

What you’ll be doing:

• Collaborate closely with our partners and the open-source community to deliver their flagship models as highly optimized NVIDIA Inference Microservices (NIM).

• Research and develop innovative deep learning methodologies to accurately evaluate new model families across diverse domains.

• Analyze, influence, and enhance AI/DL libraries, frameworks, and APIs, ensuring consistency with the best engineering practices.

• Research, prototype, and build robust tools and infrastructure pipelines to support our ground-breaking AI initiatives.

What we need to see:

• BS, MS, or PhD in Computer Science, AI, Applied Math, or a related field, or equivalent experience, with 5+ years of industry experience.

• 3+ years of hands-on experience in AI for natural language processing (NLP) and large language models (LLMs).

• Strong problem-solving, debugging, performance analysis, test design, and documentation skills.

• Solid mathematical foundations and expertise in AI/DL algorithms.

• Excellent written and verbal communication skills, with the ability to work both independently and collaboratively in a fast-paced environment.

Ways to stand out from the crowd:

• Experience in accuracy evaluation of LLMs (OpenLLM Leaderboard or HELM).

• Hands-on experience with inference and deployment environments like TensorRT, ONNX, or Triton.

• Passion for DevOps/MLOps practices in deep learning product development.

• Experience running large-scale workloads in high-performance computing (HPC) clusters.

• Strong understanding of Linux environments and containerization technologies like Docker.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We’re on a mission to make knowledge work faster and more humane. We believe that AI will fundamentally transform how people work. In the future, everyone will work in tandem with expert AI assistants who find knowledge, create and synthesize information, and execute work. These assistants will free people up to focus on the higher-level, creative aspects of their work.

We’re building a system of intelligence for every company in the world. On the surface, you can think of it as Google + ChatGPT for the enterprise. Under the hood, our platform is the connective tissue between AI and knowledge. It brings all of a company’s knowledge together, understands it at a deep level, provides industry-leading search relevance over it, and connects it to generative AI agents and applications.

Glean was founded by a seasoned team of former Google search and Facebook engineers who saw a need in the enterprise space for their technical depth and passion for AI. We’re a diverse team of curious and creative people who want to help each other get big things done—so we can help other teams do the same. 

We’re backed by some of the Valley’s leading venture capitalists—including Sequoia, Kleiner Perkins, Lightspeed, and General Catalyst—and have assembled a world-class team with senior leadership experience at Google, Slack, Facebook, Dropbox, Rubrik, Uber, Intercom, Pinterest, Palantir, and others.

What you will do and achieve

• Partner with Account Executives to navigate complex, multi-stakeholder deal cycles with C-level executives
• Create and demo custom environments based off of customer industry and line of business
• Run and manage a technical POC cycle
• Perform customer facing activities including technical discovery calls
• Lead security based conversations to make customers comfortable with Glean’s security posture
• Work cross functionally with product and engineering to deliver customer request and be a voice of the customer
• Develop ROI and business justification reports and presentations

Who you are

• 5+ years of sales engineering or solution consulting experience in a SaaS organization
• Bachelor’s degree in CS or a related field
• Excellent written and verbal communication skills
• Highly motivated, driven and self-starting individual
• Ability to work in a fast paced, team environment
• Clear examples of partnering with AEs to run technical deal cycles with Enterprise customers
• A consultative approach with solving your customer’s business challenges and having a track record of successfully overcoming technical and security objections
• Familiarity with any cloud environment (GCP, AWS, Azure)
• Proficiency in Python or Java
• Ability to configure, monitor and maintain API based integrations 

Benefits

• Competitive compensation
• Healthcare
• Flexible work environment and time-off policy
• 401k
• Transparent culture
• Learning and development opportunities
• Company events
• Free meals

The standard OTE range for this position is $110,000 – $235,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
 
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We’re committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.