Top 125 nvidia llm performance Jobs in santa clara, ca

Machine Learning Engineer, Chakra
HackerRank Careers —Santa Clara, CA
- $120,000 - $235,000 a year
- Full-time
- Hybrid work
- System design
- Mid-level
Developer Relations Manager, AI Platform and Tools - MLOps
NVIDIA —Santa Clara, CA
- $152,000 - $287,500 a year
- Full-time
- Computer science
- Computer Science
- 3 years
8d
Machine Learning Engineer - Evaluation
HackerRank Careers —Santa Clara, CA
- $120,000 - $235,000 a year
- Full-time
- Hybrid work
- Mid-level
Developer Relations Manager, AI Platform and Tools - Conversational and Generative Media
NVIDIA —Santa Clara, CA
- $152,000 - $287,500 a year
- Full-time
- Computer science
- Computer Science
- 3 years
8d
Senior High-Performance LLM Training Engineer
NVIDIA —Santa Clara, CA
- $184,000 - $356,500 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- Analysis skills
Senior CI/CD Engineer
NVIDIA —Santa Clara, CA
- $184,000 - $356,500 a year
- Full-time
- Computer science
- Azure
- Computer Science
AI Inference Performance Engineer
NVIDIA —Santa Clara, CA
- $152,000 - $241,500 a year
- Full-time
- Computer science
- Computer Science
- 5 years
Senior Performance Architect, Nemotron
NVIDIA —Santa Clara, CA
- $152,000 - $287,500 a year
- Full-time
- Computer science
- Computer Science
- Research
Senior Product Manager - Hardware Infrastructure
NVIDIA —Santa Clara, CA
- $168,000 - $322,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Bachelor of Science
Senior Product Architect, Storage
NVIDIA —Santa Clara, CA
- $224,000 - $356,500 a year
- Full-time
- Computer science
- Computer Science
- System design
Senior System Software Engineer, Holoscan
NVIDIA —Santa Clara, CA
- $184,000 - $287,500 a year
- Full-time
- Computer science
- 6 years
- Computer Science
Senior Formal Verification Engineer, GPU Kernels
NVIDIA —Santa Clara, CA
- $184,000 - $287,500 a year
- Full-time
- Computer science
- 6 years
- Computer Science
Senior SWQA Test Development Engineer
NVIDIA —Santa Clara, CA
- $168,000 - $322,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- System design
Senior Software Engineer, Machine Learning Inference
NVIDIA —Santa Clara, CA
- $152,000 - $287,500 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
AI Application Engineer
NTT Ltd —Santa Clara, CA
- $104,904 - $218,550 a year
- Full-time
- Mid-level
- 3 years
- Databases
- Health savings account
- AD&D insurance
Developer Relations Manager, Federal Government
NVIDIA —Santa Clara, CA
- $272,000 - $431,250 a year
- Full-time
- Computer science
- 7 years
- Computer Science
Senior DL Algorithms Engineer - Inference Performance
NVIDIA —Santa Clara, CA
- $152,000 - $287,500 a year
- Full-time
- 3 years
- Analysis skills
- Doctor of Philosophy
Senior Post Silicon Low Power Integration Engineer
NVIDIA —Santa Clara, CA
- $168,000 - $310,500 a year
- Full-time
- Hybrid work
- Computer Science
- Bachelor of Science
- System design
Director, Technical Support Engineering
HackerRank Careers —Santa Clara, CA
- $250,000 - $300,000 a year
- Full-time
- Hybrid work
- APIs
- Senior level
- Leadership
Senior AI Performance Architect
Qualcomm —Santa Clara, CA
- $126,700 - $217,900 a year
- Computer science
- Computer Science
- Data analysis skills

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Machine Learning Engineer, Chakra

HackerRank Careers -
Santa Clara, CA

Apply Now

Job Details

Full-time
$120,000 - $235,000 a year

Qualifications

AI models
Report preparation
Software engineering
Generative models
Process design
System design
Mid-level
Infrastructure architecture design
System design for system development
Quality performance measurement
Quality planning
Machine intelligence
Model deployment
Developing large-scale AI models
Developing data pipelines
Developing and maintaining backend systems
Model training
Benchmarking
Model evaluation
Prototypes
Generative AI

Full Job Description

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next.

Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills.

People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards.

About the role

The developer's job is shifting from writing code to directing AI agents, and hiring needs to catch up. HackerRank has shaped how 3000+ companies identify engineering talent, with 30M+ developers assessed on our platform. Chakra is our bet on what the next generation of that looks like: an AI interviewer built for a world where the interview itself has to be as intelligent as the candidates it is evaluating.

Open Problem
An interview that thinks, listens and gets it right every time.

Running an interview is easy. Running a good one is hard.

Chakra is an AI interviewer. It holds a conversation with a candidate, asks follow-up questions, evaluates how they think, and produces a report a hiring manager can actually act on. It is to conduct interviews that are more consistent, more probing, and more fair than most human interviewers manage in practice.

Here is the problem. A great human interviewer can do this. They read the candidate. They push on the right things. They know when an answer is shallow and when it just sounds shallow. Getting a model to do that reliably is genuinely difficult. Not because the technology cannot hold a conversation. It can. The gap is in judgment. Knowing what to probe. Knowing what the answer actually reveals about the candidate. Knowing when to move on.

Now do that 200,000 times. With candidates who speak differently, think differently, and approach problems differently. Without the model drifting. Without it being gamed. Without every report reading like it was written by the same template.

That is where the field currently falls short. Closing that gap is the work.

What you will do

Architect and develop Chakra end to end: the agent design, conversation management, real-time response evaluation, scoring methodology, and report generation.
Build the systems that ensure interview consistency at scale. Not just model capability, but the infrastructure that makes the 200,000th interview as coherent as the first.
Design evaluation and benchmarking pipelines that measure interview quality, candidate experience consistency, and report defensibility.
Build fine-tuning and RLHF workflows to push model judgment past what off-the-shelf models deliver for this specific task.
Own the quality bar. Define what a good interview looks like, instrument how well the system meets that bar, and close the gap systematically.
Work across the full stack: data pipelines, model serving, latency constraints, and the product experience the candidate actually encounters.

Who you are

You have built and shipped agentic or conversational AI systems in production, not just prototypes.
You have a strong intuition for where LLM behavior breaks down under real-world conditions and how to address it systematically.
You think in systems. The conversation architecture, the evaluation model, the serving infrastructure, and the candidate experience are one problem to you.
You care about the quality bar at the level of a user who depends on the output, not just a researcher measuring aggregate metrics.

Even better if you have

Experience building multi-turn conversational agents or interview-style AI systems.
Worked with RLHF, Constitutional AI, or preference-based fine-tuning methods.
Background in dialogue systems, conversational evaluation, or rubric-based scoring.
Publications or contributions in agentic AI, LLM reliability, or evaluation of generative systems.

You will thrive here if

You are energized by the full scope of a hard product problem, from model architecture through the conversation a candidate actually has.
You hold the product bar as high as the technical bar. You want to build something that works extraordinarily well for every single person who uses it.

Compensation

The annual US on-target earnings (OTE) range for this role is $120,000 – $235,000 which includes base salary and target bonus. This range may span multiple career levels at HackerRank and will be refined during the interview process based on factors such as the candidate’s experience, qualifications, and location. Compensation for this role includes base salary, target bonus, and equity.

Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here.

HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

Notice to prospective HackerRank job applicants:

Our Recruiters use @hackerrank.com email addresses.
We never ask for payment or credit check information to apply, interview, or work here.

Apply Now

Refine Your Search

nvidia llm performance jobs in santa clara, ca

Machine Learning Engineer, Chakra

Developer Relations Manager, AI Platform and Tools - MLOps

Machine Learning Engineer - Evaluation

Developer Relations Manager, AI Platform and Tools - Conversational and Generative Media

Senior High-Performance LLM Training Engineer

Senior CI/CD Engineer

AI Inference Performance Engineer

Senior Performance Architect, Nemotron

Senior Product Manager - Hardware Infrastructure

Senior Product Architect, Storage

Senior System Software Engineer, Holoscan

Senior Formal Verification Engineer, GPU Kernels

Senior SWQA Test Development Engineer

Senior Software Engineer, Machine Learning Inference

AI Application Engineer

Developer Relations Manager, Federal Government

Senior DL Algorithms Engineer - Inference Performance

Senior Post Silicon Low Power Integration Engineer

Director, Technical Support Engineering

Senior AI Performance Architect

I want to receive the latest job alert for nvidia llm performance in santa clara, ca

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