Staff Compiler Engineer - PyTorch + Kernel DSLPLATE

Please Note:

To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. 

Advancing the World’s Technology Together

Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. 

We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.

What You’ll Do

• Adapting torch.compile to our backend: lowering Inductor's IR to our hardware, defining what gets fused, what gets specialized, and where the compiler should yield to hand-written kernels.
• Building or extending kernel DSLs for our hardware: taking a tile-based programming model (Triton-style), a higher-level expression (Helion-style), or a custom DSL we design, and lowering it to our ISA, our memory hierarchy, and our collective primitives. Where existing DSLs' GPU assumptions break, deciding what to change in the frontend, the IR, or the backend.
• Designing placement and scheduling passes: given a graph and our distributed memory model, deciding where tensors live, when to migrate them, and how to overlap compute with data movement. This is the layer where our hardware's differentiator shows up most directly.
• Implementing parallelism-aware lowering: making tensor, pipeline, expert, and sequence parallelism first-class in the compiler IR rather than bolted on at the framework layer.
• Fusion, tiling, and memory planning: the classical compiler problems, reframed for a non-uniform memory hierarchy where the right tile size and the right placement are coupled decisions.
• Upstream contributions: where we use open-source DSLs, we want our work to land upstream rather than live in a private fork. You'll engage with upstream review processes for PyTorch, Triton, Helion, and adjacent projects.

What You Bring

• Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD's with 5+ years of industry experience.
• 3-5+ years of industry experience in at least one of: Triton, Helion, MLIR, XLA, TVM, Inductor, IREE, CUTLASS, or a proprietary equivalent (More experienced candidates will also be considered at relevant levels).
• Experience designing a kernel DSL or its IR from scratch, or making non-trivial language-level changes to an existing one.
• Experience with MLIR — writing dialects, passes, or backend integration.
• Experience building PyTorch backends for non-CUDA accelerators (XPU, ROCm, MPS, TPU, custom).
• Experience with kernel autotuning, performance modeling, or cost-based compilation
• Background in HPC, distributed systems, or NUMA-aware programming — anything that built intuition for non-flat memory
• Open-source contributions to PyTorch, Triton, Helion, LLVM/MLIR, or similar projects is a big plus.

#LI-VL1

Equal Opportunity Employment Policy 

Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.

When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.

Our Commitment to Innovation and Fairness

At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically.

Recruiting Agency Policy

We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.

Applicant AI Use Policy 

At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.  

Trade Secret Notice

By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.

Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/