... engineers and ML researchers to optimize deep learning workloads on dataflow hardware ... with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... engineers and ML researchers to optimize deep learning workloads on dataflow hardware ... with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... engineers and ML researchers to optimize deep learning workloads on cutting-edge dataflow hardware ... with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... engineers and ML researchers to optimize deep learning workloads on cutting-edge dataflow hardware ... with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... engineered to operate from -40 °C to +125 °C, making it ideal for industrial, automotive ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
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... engineered to operate from -40 °C to +125 °C, making it ideal for industrial, automotive ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... engineered to operate from -40 °C to +125 °C, making it ideal for industrial, automotive ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
Quick apply
... engineered to operate from -40 °C to +125 °C, making it ideal for industrial, automotive ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... engineers and ML researchers to optimize deep learning workloads on advanced dataflow hardware ... with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... engineers and ML researchers to optimize deep learning workloads on advanced dataflow hardware ... with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... engineers and ML researchers to optimize deep learning workloads on cutting-edge dataflow hardware ... with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... engineers and ML researchers to optimize deep learning workloads on cutting-edge dataflow hardware ... with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
Senior Deep Learning Compiler Engineer
OR · On-site +1
$104K - $143K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...
Senior Deep Learning Compiler Engineer
OR · On-site +1
$104K - $143K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...
Deep Learning Compiler Engineer
OR · On-site +1
... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...
Deep Learning Compiler Engineer
OR · On-site +1
... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...
Deep Learning Compiler Engineer
OR · On-site +1
... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...
Deep Learning Compiler Engineer
OR · On-site +1
... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...
GPU Compiler Engineer
OR · On-site +1
Our Compiler team is responsible for constructing and emitting the highest performance GPU machine ... Be part of a team that is at the center of deep-learning compiler technology spanning architecture ...
GPU Compiler Engineer
OR · On-site +1
Our Compiler team is responsible for constructing and emitting the highest performance GPU machine ... Be part of a team that is at the center of deep-learning compiler technology spanning architecture ...
GPU Compiler Engineer
OR · On-site +1
Our Compiler team is responsible for constructing and emitting the highest performance GPU machine ... deep-learning compiler technology spanning architecture design and support through functional ...
GPU Compiler Engineer
OR · On-site +1
Our Compiler team is responsible for constructing and emitting the highest performance GPU machine ... deep-learning compiler technology spanning architecture design and support through functional ...
Senior Deep Learning Compiler Engineer - XLA
OR · On-site +1
$104K - $143K/yr
In this role, develop compiler optimization algorithms for deep learning workloads. You will ... Working closely with GPU hardware engineering teams to design AI compiler software features for ...
Senior Deep Learning Compiler Engineer - XLA
OR · On-site +1
$104K - $143K/yr
In this role, develop compiler optimization algorithms for deep learning workloads. You will ... Working closely with GPU hardware engineering teams to design AI compiler software features for ...
Deep Learning Compiler Engineer
Burlingame, CA · Remote
$110K - $270K/yr
... a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and ... Role As a senior member of our platform software engineering team, you will be tasked with lowering ...
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Deep Learning Compiler Engineer
Burlingame, CA · Remote
$110K - $270K/yr
... a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and ... Role As a senior member of our platform software engineering team, you will be tasked with lowering ...
Deep Learning Compiler Engineer
Burlingame, CA · On-site +1
$110K - $270K/yr
... a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and ... Role As a senior member of our platform software engineering team, you will be tasked with lowering ...
Deep Learning Compiler Engineer
Burlingame, CA · On-site +1
$110K - $270K/yr
... a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and ... Role As a senior member of our platform software engineering team, you will be tasked with lowering ...
Senior Code Generator Compiler Engineer
OR · On-site +1
$104K - $143K/yr
Our Compiler team is responsible for constructing and emitting the highest performance GPU machine ... deep-learning compiler technology spanning architecture design and support through functional ...
Senior Code Generator Compiler Engineer
OR · On-site +1
$104K - $143K/yr
Our Compiler team is responsible for constructing and emitting the highest performance GPU machine ... deep-learning compiler technology spanning architecture design and support through functional ...
Senior Compiler Engineer - AI
OR · On-site +1
$122K - $161K/yr
We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our ... The ideal candidate brings broad experience across machine learning, including reinforcement ...
Senior Compiler Engineer - AI
OR · On-site +1
$122K - $161K/yr
We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our ... The ideal candidate brings broad experience across machine learning, including reinforcement ...
We are now looking for a Senior Machine Learning Applications and Compiler Engineer. NVIDIA is seeking engineers to develop algorithms and optimizations for our LPX inference and compiler stack. You ...
We are now looking for a Senior Machine Learning Applications and Compiler Engineer. NVIDIA is seeking engineers to develop algorithms and optimizations for our LPX inference and compiler stack. You ...
Senior Compiler Engineer, AI Inference Platforms
OR · On-site +1
$122K - $161K/yr
More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... NVIDIA is hiring software engineers for its Deep Learning & AI Compiler (DLC) team. Academic and ...
Senior Compiler Engineer, AI Inference Platforms
OR · On-site +1
$122K - $161K/yr
More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... NVIDIA is hiring software engineers for its Deep Learning & AI Compiler (DLC) team. Academic and ...
Senior Compiler Engineer
OR · On-site +1
$104K - $143K/yr
... machine code. Build compiler IRs and Optimizers: Work with modern compiler architectures to lower Rust AST and MIR into IRs including MLIR, PTX, and LLVM, including GPU-specific optimizations.
Senior Compiler Engineer
OR · On-site +1
$104K - $143K/yr
... machine code. Build compiler IRs and Optimizers: Work with modern compiler architectures to lower Rust AST and MIR into IRs including MLIR, PTX, and LLVM, including GPU-specific optimizations.
Senior Compiler Engineer Infrastructure
Austin, TX · On-site +1
$107K - $146K/yr
... Compiler Infrastructure Engineer to join our Compute Compiler Team, with a primary focus on ... learning frameworks and performance-sensitive workloads on NVIDIA GPUs With highly competitive ...
Senior Compiler Engineer Infrastructure
Austin, TX · On-site +1
$107K - $146K/yr
... Compiler Infrastructure Engineer to join our Compute Compiler Team, with a primary focus on ... learning frameworks and performance-sensitive workloads on NVIDIA GPUs With highly competitive ...
Remote Machine Learning Compiler Engineer information
See salary details
$75K - $86.8K
1% of jobs
$86.8K - $98.6K
2% of jobs
$98.6K - $110.5K
3% of jobs
$110.5K - $122.3K
3% of jobs
$122.3K - $134.1K
6% of jobs
$138.2K is the 25th percentile. Wages below this are outliers.
$134.1K - $145.9K
26% of jobs
$145.9K - $157.7K
3% of jobs
$157.7K - $169.5K
3% of jobs
The median wage is $170.4K / yr.
$169.5K - $181.4K
23% of jobs
$181.4K - $193.2K
1% of jobs
$194.2K is the 75th percentile. Wages above this are outliers.
$193.2K - $205K
27% of jobs
$75K
$167.4K
$205K
How much do remote machine learning compiler engineer jobs pay per year?
As of Sep 7, 2026, the average yearly pay for remote machine learning compiler engineer in the United States is $167,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,000.00 and $205,000.00 per year, depending on experience, location, and employer.
What is a remote machine learning compiler engineer?
A Remote Machine Learning Compiler Engineer is a software engineer who specializes in developing and optimizing compilers specifically for machine learning workloads, while working from a remote location. Their primary responsibilities include designing and implementing compiler features that translate machine learning models into efficient code for various hardware platforms, such as CPUs, GPUs, or specialized accelerators. They collaborate closely with machine learning researchers, hardware engineers, and software developers to ensure high performance and compatibility. In addition to strong programming skills, they typically require expertise in compiler theory, machine learning frameworks, and hardware architectures. This role allows for flexible, location-independent work while contributing to cutting-edge AI technologies.
How does a remote machine learning compiler engineer typically collaborate with cross-functional teams to optimize model deployment?
As a Remote Machine Learning Compiler Engineer, you will frequently collaborate with data scientists, hardware engineers, and software developers to ensure that machine learning models are efficiently compiled and deployed on target platforms. Communication often takes place through virtual meetings, code reviews, and shared documentation tools. You'll be responsible for translating research models into optimized code, troubleshooting performance bottlenecks, and integrating feedback from various stakeholders. Effective teamwork is crucial, as the success of deployments often depends on iterative feedback and close alignment with both the ML research and hardware teams.
What are the key skills and qualifications needed to thrive as a remote machine learning compiler engineer, and why are they important?
To thrive as a Remote Machine Learning Compiler Engineer, you need a strong background in computer science, proficiency in programming languages like C++ and Python, and expertise in compiler theory and machine learning frameworks. Familiarity with ML compilers such as TVM or XLA, and experience using version control and CI/CD systems are commonly required, along with a relevant bachelor's or master's degree. Outstanding problem-solving, collaboration, and communication skills are essential for working effectively in distributed teams and across technical domains. These skills and qualities enable the development of efficient, scalable ML solutions that bridge software and hardware, ensuring high performance and innovation.
What is the difference between Remote Machine Learning Compiler Engineer vs Remote Data Scientist?
| Aspect | Remote Machine Learning Compiler Engineer | Remote Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Software Engineering, or related fields; knowledge of compiler design and ML frameworks | Bachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis |
| Work Environment | Primarily software development, compiler optimization, and ML model deployment | Data analysis, model building, and interpretation of results |
| Industry Usage | Tech companies, AI startups, hardware firms focusing on ML hardware acceleration | Tech, finance, healthcare, and research organizations |
While both roles involve working with machine learning, the Remote Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Remote Data Scientist concentrates on analyzing data and building predictive models. The roles share some technical skills but differ in their core responsibilities and work environments.
More about Remote Machine Learning Compiler Engineer jobs
What cities are hiring for Remote Machine Learning Compiler Engineer jobs?
Cities with the most Remote Machine Learning Compiler Engineer job openings:
What are the most commonly searched types of Machine Learning Compiler Engineer jobs?
The most popular types of Machine Learning Compiler Engineer jobs are:
What states have the most Remote Machine Learning Compiler Engineer jobs?
States with the most job openings for Remote Machine Learning Compiler Engineer jobs include:
What job categories do people searching Remote Machine Learning Compiler Engineer jobs look for?
The top searched job categories for Remote Machine Learning Compiler Engineer jobs are:
- Remote Medical Machine Learning
- Remote Machine Learning Visa Sponsorship
- Remote Google Machine Learning Engineer
- Remote Audio Machine Learning
- Machine Learning Remote Internship
- Remote Gpu Engineer
- Remote Deep Learning
- Freelance Google Machine Learning Engineer
- Machine Learning
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Job description
Job Summary:
Mythic is building the future of AI computing with breakthrough analog technology. They are seeking a Compiler Engineer to develop the compiler for their novel AI accelerator, collaborating with hardware engineers and ML researchers to optimize deep learning workloads on dataflow hardware.
Responsibilities:
• Contribute across the full compiler stack, including operator lowering, graph/IR transformations, optimization passes, and backend code generation
• Optimize for dataflow architectures, developing pipelined schedules, memory orchestration, and resource-constrained execution strategies
• Collaborate with hardware architects to influence architectural features, ensuring the compiler and hardware evolve together
• Develop compilation strategies that unify our analog compute with digital subsystems
• Build and maintain a compiler that produces high-performance binaries with strong debugging support, clear error messages, and predictable performance models
Qualifications:
Required:
• 3+ years of experience building compilers or high-performance systems software, especially those involving complex resource management or optimization.
• Expert in modern C++ (C++14/17/20) and strong Python.
• Experience with compiler IRs (SSA-based or graph-based), transformations, and code generation
• Exposure to specialized accelerators (GPU, NPU, FPGA, or custom ASIC) or parallel architectures
Preferred:
• Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with contributions to MLIR or LLVM projects a plus
• Experience with optimization methods (LP/MIP, CP, SAT/SMT) using solvers like Gurobi or OR-Tools for scheduling and resource allocation
• Experience compiling for specialized accelerators (GPU, NPU, FPGA, or custom ASIC) on DNN workloads; GPU/DSP experience is valuable if combined with compiler backend work beyond kernel tuning
• Familiarity with heterogeneous compilation, especially mixing custom accelerators with CPUs/GPUs/NPUs, and exposure to analog or in-memory compute is a plus
• Experience collaborating in compiler–hardware co-design (architecture + ISA) for better compiler usability and hardware efficiency
Company:
Mythic develops analog matrix processors and key cards based on analog compute-in-memory. Founded in 2012, the company is headquartered in Austin, USA, with a team of 51-200 employees. The company is currently Early Stage.
Mythic is building the future of AI computing with breakthrough analog technology. They are seeking a Compiler Engineer to develop the compiler for their novel AI accelerator, collaborating with hardware engineers and ML researchers to optimize deep learning workloads on dataflow hardware.
Responsibilities:
• Contribute across the full compiler stack, including operator lowering, graph/IR transformations, optimization passes, and backend code generation
• Optimize for dataflow architectures, developing pipelined schedules, memory orchestration, and resource-constrained execution strategies
• Collaborate with hardware architects to influence architectural features, ensuring the compiler and hardware evolve together
• Develop compilation strategies that unify our analog compute with digital subsystems
• Build and maintain a compiler that produces high-performance binaries with strong debugging support, clear error messages, and predictable performance models
Qualifications:
Required:
• 3+ years of experience building compilers or high-performance systems software, especially those involving complex resource management or optimization.
• Expert in modern C++ (C++14/17/20) and strong Python.
• Experience with compiler IRs (SSA-based or graph-based), transformations, and code generation
• Exposure to specialized accelerators (GPU, NPU, FPGA, or custom ASIC) or parallel architectures
Preferred:
• Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with contributions to MLIR or LLVM projects a plus
• Experience with optimization methods (LP/MIP, CP, SAT/SMT) using solvers like Gurobi or OR-Tools for scheduling and resource allocation
• Experience compiling for specialized accelerators (GPU, NPU, FPGA, or custom ASIC) on DNN workloads; GPU/DSP experience is valuable if combined with compiler backend work beyond kernel tuning
• Familiarity with heterogeneous compilation, especially mixing custom accelerators with CPUs/GPUs/NPUs, and exposure to analog or in-memory compute is a plus
• Experience collaborating in compiler–hardware co-design (architecture + ISA) for better compiler usability and hardware efficiency
Company:
Mythic develops analog matrix processors and key cards based on analog compute-in-memory. Founded in 2012, the company is headquartered in Austin, USA, with a team of 51-200 employees. The company is currently Early Stage.