Principal Software Engineer - Workflow DSL and Orchestration

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Santa Clara, CA, USA
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for inquisitive and driven full-time software engineers with a strong interest in building high-quality, long-lasting systems. The VLSI Productivity and Infrastructure team supports hundreds of chip design engineers by building tools and platforms that supercharge their everyday work. From databases to web applications, build automation to machine learning, and on-prem infrastructure to cloud workloads, our team handles it all. Want to know how NVIDIA stays at the top of the pack? Come join us to find out!

What you will be doing:

You will own the evolution of our workflow definition language (a production DSL) and its execution behavior as we modernize and migrate our platform.

  • Design and implement a scalable DSL toolchain: parsing, normalization, validation, expansion, and compatibility guarantees

  • Evolve workflow attributes (dependencies, conditional execution, templating/macros, reuse/modular configs, sub-sequences) with strong backward compatibility and excellent diagnostics

  • Build an intermediate representation (IR) that becomes the contract between authoring tools, execution engines, and UIs

  • Modernize and migrate legacy implementations into Go and/or TypeScript while preserving behavior and improving maintainability

  • Create a rigorous conformance test suite (golden inputs/outputs) to prevent regressions as the DSL grows

  • Partner closely with power users to turn high-level needs into language features that scale across teams and workflows

  • Leverage LLMs to accelerate (not replace) your contribution while taking ownership of your output

What we need to see:

  • B.S. CS/EE (or equivalent experience)

  • 15+ years building large-scale software systems (Staff/Principal level impact expected)

  • Strong experience in Go and/or TypeScript (plus at least one additional systems language preferred)

  • Proven ability to design and ship language-like systems (DSLs, config languages, compilers/transpilers, query languages, rules engines) with real users

  • Strong computer science fundamentals in algorithms/data structures, with emphasis on graph algorithms and program transformations

  • Experience building workflow/orchestration systems (dependency graphs, scheduling strategies, finite-state machines, determinism under concurrency, cycle detection, partial execution, recovery)

  • Excellent engineering judgment around compatibility, migration strategy, and safe extensibility

Ways to stand out from the crowd:

  • Experience replacing complex string-based regexes with explicit parsers/AST/IR and safe evaluators

  • Expertise in building great error messages and developer UX for complex configuration systems

  • Background in build systems, CI pipelines, job schedulers, or distributed execution engines

  • Track record of decomposing large legacy systems into testable, modular components while keeping production stable

  • Experience aligning language idioms across multiple implementations (e.g., server + client, or old + new engine) during migration

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 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 19, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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.

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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