1

Assistant Compiler Software Engineer Jobs in New York

They are seeking a detailed-oriented Software Engineer to assist in the full development cycle, from design to maintenance, ensuring quality care and efficient healthcare service delivery.

Senior Software Engineer

Manhattan, NY · On-site

$134K - $177K/yr

Senior Software Engineer Reporting to the Assistant Vice President, Software Engineering, the Senior Software Engineer builds software to optimize workflows and increase system accuracy. They create ...

Software Platform/DevSecOps Engineering Lead Job Code: 41762 Job Location: Clifton, NJ Job Schedule ... Support and optimize C++ software build environments, including compiler toolchains, build systems ...

Software Platform/DevSecOps Engineering Lead Job Code: 41762 Job Location: Clifton, NJ Job Schedule ... Support and optimize C++ software build environments, including compiler toolchains, build systems ...

New

Software Engineer I Grand Rapids, MI / Uniondale, NY/ Austin, TX / Atlanta, GA (Onsite 4 days per ... Contribute to integrations: Assist with integrations between internal systems, external vendors ...

Reporting to the Assistant Director, Software Engineering the Software Engineer Intern builds tools to enhance the work of Breaking Ground. The Intern works closely with departments across the ...

Software Engineer I Grand Rapids, MI / Uniondale, NY/ Austin, TX / Atlanta, GA (Onsite 4 days per ... Contribute to integrations: Assist with integrations between internal systems, external vendors ...

Software Engineer I Grand Rapids, MI / Uniondale, NY/ Austin, TX / Atlanta, GA (Onsite 4 days per ... Contribute to integrations: Assist with integrations between internal systems, external vendors ...

Software Engineer

New York, NY · On-site

$75K - $95K/yr

Kitware is seeking a Software Engineer to join the Software and Data Solutions team. This position ... Familiarity with one or more AI code-assistant tools (e.g., Github Copilot, Cursor, Claude Code)

Senior Software Engineer

Manhattan, NY

$134K - $177K/yr

Reporting to the Assistant Vice President, Software Engineering, the Senior Software Engineer builds software to optimize workflows and increase system accuracy. They create software tools to ...

Developing documentation to assist users. Ensuring continuous professional self-development. Java ... Developer Requirements: Degree in Computer Science or related field. Experience with user interface ...

As a Software Engineer II, you will work with a cross functional squad of Database, Platform ... You will implement solutions, assist in defining scope and sizing of work, lead projects and other ...

Mobility Ideal Health is seeking an Assistant Software Engineer to support the development, maintenance, and enhancement of software applications and cloud-native solutions. The role involves ...

We're hiring a software engineer, but the role is really that of a builder. Our title says ... You should be genuinely AI-native - not someone who has used an AI coding assistant a few times ...

We're hiring a software engineer, but the role is really that of a builder. Our title says ... You should be genuinely AI-native -- not someone who has used an AI coding assistant a few times ...

As a Software Engineer II, you will work with a cross functional squad of Database, Platform ... You will implement solutions, assist in defining scope and sizing of work, lead projects and other ...

Showing results 21-40

Assistant Compiler Software Engineer information

What is the difference between Assistant Compiler Software Engineer vs Compiler Software Engineer?

AspectAssistant Compiler Software EngineerCompiler Software Engineer
Required CredentialsBachelor's degree in Computer Science or related field; some experience or internshipsBachelor's or Master's degree; more experience in compiler development
Work EnvironmentEntry-level, team-based, collaborative projectsMid-level to senior, focused on designing and optimizing compilers
Industry UsageTech companies, research labs, startupsEstablished tech firms, software development companies

The Assistant Compiler Software Engineer typically has less experience and focuses on supporting compiler development tasks, while the Compiler Software Engineer handles more complex design, optimization, and implementation responsibilities. Both roles require a strong foundation in programming and compiler theory, but the seniority and scope differ.

What are the most commonly searched types of Compiler Software Engineer jobs in New York?

The most popular types of Compiler Software Engineer jobs in New York are:

What are popular job titles related to Assistant Compiler Software Engineer jobs in New York?

For Assistant Compiler Software Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Assistant Compiler Software Engineer jobs in New York look for?

The top searched job categories for Assistant Compiler Software Engineer jobs in New York are:

What cities in New York are hiring for Assistant Compiler Software Engineer jobs?

Cities in New York with the most Assistant Compiler Software Engineer job openings:

Infographic showing various Assistant Compiler Software Engineer job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Senior Inference Engineer, GPU Kernel Optimization

Nvidia

New York, NY

$134K - $176K/yr

Full-time

Posted 18 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

We're now looking for a Sr. Inference Engineer, for GPU Kernel Optimization! What does it take to push every LLM inference operation to its performance ceiling? Our LLM Inference Performance Analysis and Optimization team builds the answer from the ground up. We develop silicon-measured kernel benchmarking infrastructure, model-level performance projection tooling, and agentic optimization systems that improve GPU kernels at the assembly layer. Our team works closely with compiler, kernel, hardware, and framework organizations across NVIDIA to surface bottlenecks and ship measurable gains. If driving GPU performance at the frontier of LLM inference sounds like your kind of challenge, we'd love to meet you!

What you'll be doing:

The role drives three interconnected systems, all aimed at accelerating NVIDIA's LLM inference stack. The first is GPU kernel microbenchmarking: measuring competing kernel implementations at real-silicon fidelity across the full configuration space that production LLM deployments demand. The second is end-to-end model performance analysis: connecting performance evidence to model-level serving economics, surfacing high-value optimization opportunities, and producing optimization policies for production inference deployments. The third is agentic kernel optimization: applying AI-driven analysis to diagnose performance gaps, explore optimization opportunities across the kernel ecosystem, and validate findings with rigorous silicon measurements. All three streams converge in close collaboration with compiler, hardware, kernel, and framework teams to deliver upstream improvements and production-grade performance gains.

What we need to see

  • Master's or PhD in Computer Science, Computer Engineering, or a related field, or equivalent experience.

  • 6+ years of relevant industry experience.

  • Experience building or directing agentic AI systems - code generation, automated optimization, or multi-step reasoning workflows.

  • Strong Python and C++ skills with proven software engineering fundamentals.

  • Hands-on GPU profiling with CUPTI, NSYS, and NCU; proven track record to attribute bottlenecks across kernel execution, compiler decisions, and runtime scheduling.

  • Direct experience with LLM inference frameworks such as TRT-LLM, SGLang, or vLLM and clear understanding of how kernel selection drives model-level throughput and latency.

  • Working knowledge of GPU kernel optimization - CUDA, CUTLASS, Triton, or equivalent - and the ability to read PTX or SASS output.

Ways to stand out from the crowd

  • Deep knowledge of SASS/PTX-level kernel analysis, compiler middle-end optimization, or GPU code generation pipelines (LLVM, MLIR, ptxas, or similar).

  • Track record shipping agentic systems end-to-end - tool invent, multi-agent orchestration, and silicon-verified validation - within a performance engineering or kernel optimization context.

  • Active contributions to open-source LLM inference or GPU kernel libraries (FlashInfer, Triton, CUTLASS, or similar).

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 31, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993