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Added 17 hours ago
IC
Compiler Engineer for Tile-based AI DSLs
Intel Corporation
CA · MA · OR · TX
- $149,600 to $284,580 USD / year
In this position as a Compiler Engineer, you will focus on enhancing and maintaining cutting-edge compiler software tools optimized for Intel processors. Your day-to-day responsibilities…
Added 1 day ago
BV
High-Performance Computing Engineer
Bright Vision Technologies
Remote, United States
- $130,000 to $150,000 USD / year
Exposure to compiler infrastructure such as LLVM or MLIR.
Added 1 day ago
Senior Principal Model Bring-up Engineer
SambaNova
Austin, TX · San Jose, CA
Debug where model, compiler and hardware meet; land each fix in the right shared component.
Added 1 day ago
Principal Place and Route (PnR) Engineer
SambaNova
Austin, TX · San Jose, CA
…map customer workloads onto the RDU. You will work with the compiler team, hardware architects, and performance engineers to model new hardware constraints and trace throughput gaps back to…
Added 2 days ago
BV
GPU Software Engineer (CUDA)
Bright Vision Technologies
Remote, United States
- $100,000 to $175,000 USD / year
Exposure to compiler infrastructure such as LLVM or MLIR.
Added 2 days ago
IC
Compiler Engineer for AI DSLs
Intel Corporation
CA · MA · OR · TX
- $128,880 to $181,940 USD / year
As a Compiler Engineer, you will be at the forefront of advancing Intel's industry-leading compiler technologies. In this role, you will design, develop, optimize, and maintain cutting-edge…
Added 3 days ago
GPU Systems Engineer
Bright Vision Technologies
Remote, United States
Exposure to compiler infrastructure such as LLVM or MLIR.
Added 3 days ago
Compiler Engineer - New Grad
SambaNova
Austin, TX · San Jose, CA
As a new grad Compiler Engineer, you'll work on core areas of our compiler, including the IR and pass infrastructure, model lowering and partitioning, tensor tiling, memory management, and…
Added 4 days ago
BV
GPU Software Engineer (CUDA)
Bright Vision Technologies
Remote, United States
- $80,000 to $107,000 USD / year
Exposure to compiler infrastructure such as LLVM or MLIR.
Added 4 days ago
GPU Applications Engineer
Bright Vision Technologies
Remote, United States
Exposure to compiler infrastructure such as LLVM or MLIR.
Added 4 days ago
On-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning
Apple
Cupertino, CA
We’re seeking a highly motivated software engineer who is creative, versatile, and passionate about machine learning, common compiler optimizations, and system software engineering in the…
Added 5 days ago
TI
Compiler Engineer
TETRAMEM INC
San Jose, CA
- $160,000 to $300,000 USD / year
5+ years industry experience as a compiler engineer or developer
Added 5 days ago
TI
US 2026 Software - Compiler Engineer Intern
TETRAMEM INC
San Jose, CA
- $35 to $45 USD / hour
We are seeking a Compiler Engineer intern to support the Compiler Software team in developing the compiler and runtime for in-memory machine learning accelerators at TetraMem.
Added 5 days ago
BV
Parallel Computing Engineer
Bright Vision Technologies
Remote, United States
- $130,000 to $180,000 USD / year
Knowledge of LLVM, MLIR, compiler optimization techniques, or code generation technologies.
Added 8 days ago
Compiler Toolchain Engineer
Qualcomm Incorporated
Austin, TX
Added 9 days ago
Software Engineer, Systems ML
Meta
Menlo Park, CA
Familiarity with ML framework internals (PyTorch graph execution, torch.compile, operator dispatch) and AI compiler stacks (MLIR, LLVM, TVM, Triton)
Added 9 days ago
Software Engineer III, Performance
Google
Mountain View, CA
Experience with machine learning, compiler optimization, code generation, and runtime systems for GPU architectures (OpenXLA, MLIR, Triton, etc).
Added 9 days ago
ML Compiler Engineer
Advanced Micro Devices, Inc
San Jose, CA
…possess a drive to solve sophisticated issues in a complex compiler tool stack. This role will be in software development, in the AI group in AMD. It will involve working on the next…
Added 9 days ago
Scientific Software Engineer – Machine Programming
QuEra Computing, Inc.
Boston, MA
…effectively. You will maintain the domain-specific language and compiler stack, built on the open-source Kirin toolchain, that experimental physicists use every day to run their…
Added 9 days ago
Senior Software Engineer, GPU Code Generation for Machine Learning Inference
NVIDIA USA
Remote, United States
As a Senior Software Engineer, you will develop advanced GPU inference software for TensorRT. We’re looking for engineers with strong experience in GPU optimization and compiler development…
Added 10 days ago
MC
Senior Accelerator SW Tools Development Engineer
Microsoft Corporation
Mountain View, CA
- $119,800 to $261,000 USD / year
…combines custom silicon, high-performance networking, advanced compiler technologies, and large-scale system infrastructure to enable industry-leading AI training and…
Added 10 days ago
Machine Learning Compiler Engineer
Qualcomm Incorporated
SAN DIEGO, CA
Added 10 days ago
Senior Compiler Engineer – GPU Compute
NVIDIA USA
CA · TX · WA
…lasting impact on the world. We are searching for a Senior Compiler Engineer in our GPU Software organization. We deliver features and improvements that help NVIDIA hardware reach its full…
Added 10 days ago
Senior Machine Learning Engineer, Ads ML Efficiency
Reddit
Remote, United States
This role sits at the intersection of ML workloads, execution systems, and engineering leverage. The engineer will partner closely with ranking teams, serving owners, and ML Platform to…
Added 11 days ago
NC
Compiler Backend Engineer
Normal Computing Corporation
Mountain View, CA
- $200,000 to $300,000 USD / year
…yours. Our hardware does not look like a CPU or GPU, so its compiler backend can't be borrowed from one. As a Compiler Engineer focused on the backend, you will help design and build the…

Apple

On-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning

Cupertino, CA, United States

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Job details

Posting language: English
Posted: Sep 3, 2026

Original job description

Role Number: 200658150-0836

Summary

Imagine being at the forefront of an evolution where innovative AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation.

Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding innovative architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains. This infrastructure forms the backbone of Apple’s machine learning workflows across Camera, Siri, Health, Vision, and other core experiences, contributing to the overall Apple Intelligence ecosystem. If you are passionate about the technical challenges of running sophisticated ML models across all devices, from resource-constrained devices to powerful clusters, and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents a great opportunity to work on the next generation of intelligent experiences on Apple platforms.

Our group is seeking an ML Infrastructure Engineer, with a focus on model compilation. The role entails working closely with model authoring, runtime, and performance teams to ensure that models can bring to bear the full capabilities of the hardware.

Description

We’re building an end-to-end developer experience for machine learning development that employs Apple’s vertical integration. This allows developers to iterate on model authoring, optimization, transformation, execution, debugging, profiling, and analysis. This role focuses on the core runtime for execution across a wide variety of devices and use cases.

We’re seeking a highly motivated software engineer who is creative, versatile, and passionate about machine learning, common compiler optimizations, and system software engineering in the fast-paced and dynamic field of machine learning. We have an MLIR-based compiler stack, and use it to target the neural engine, GPU, and CPU in order to harness the full capabilities of the system for ML workflows and execution.

Minimum Qualifications

3-5 years working on MLIR-based compilers.
Familiarity with common ML model architectures, execution schemes, and operations.
Familiarity with C++ Familiarity with PyTorch or related training frameworks

Preferred Qualifications

Familiarity with Swift.
Familiarity with programming paradigms for the GPU, CPU, and Neural Engine.
Familiarity with writing kernels for ML model execution.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

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More about this job

Skills

ML
Machine learning
Debugging
C++
PyTorch
Swift

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