Principal Software Engineer - Workflow DSL and Orchestration

NVIDIA•Us, CA

About The Position

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!

Requirements

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

Nice To Haves

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

Responsibilities

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

Benefits

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
You will also be eligible for equity and benefits

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