Compiler Optimization Engineer Job at Social Value Portal Ltd (London)

Staff DevOps Engineer - Compiler Infrastructure

We are seeking a highly technical Senior DevOps Engineer to join our Compiler En...

Location

United States , Austin

Salary:

152000.00 - 228000.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Systems Mastery: Deep knowledge of Linux/Unix internals and shell scripting (Bash), with an emphasis on performance tuning and resource management
Scripting & Programming: Proficiency in Python for automation coupled with a reading knowledge of C/C++ to troubleshoot build failures and optimize scripts
CI/CD Expertise: Extensive experience with complex pipeline automation and Docker containerization, with a focus on efficiency, repeatability, and security
Problem-Solving: Proven ability to diagnose and resolve low-level system issues, linker errors, and environment-specific discrepancies
Open-Source Contribution: Experience contributing to or managing builds for open-source projects, especially those related to compiler technology like LLVM, is highly desirable
Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

Job Responsibility

CI/CD Pipeline Engineering: Design and maintain high-performance pipelines (e.g., Jenkins, GitHub Actions, or Buildbot) tailored for the iterative nature of compiler development. Focus on enhancing reliability and efficiency by automating routine tasks and integrating robust testing mechanisms
Validation & Benchmarking: Develop automated systems to track and visualize performance metrics such as execution speed, binary size, and memory usage, ensuring these metrics are well-documented and accessible. Use this data to prevent performance regressions
Infrastructure Deployment: Work with alternative tools like Docker, Kubernetes, or native cloud solutions to provision and manage scalable build farms across hybrid-cloud and on-premise environments. Focus on seamless integration and automation rather than specific IaC frameworks
Cross-Architecture Testing: Manage 'bare metal' and virtualized testing environments for diverse Instruction Set Architectures (ISAs), ensuring compiler correctness and interoperability across various hardware targets
Build Optimization: Collaborate closely with compiler developers to optimize build systems (e.g., CMake, Ninja) to minimize the 'developer-to-feedback' loop times, leveraging your expertise in automation and parallelization.

Fulltime

Senior ML Compiler Engineer

About the Mission: GM’s vision of Zero Crashes, Zero Emissions, and Zero Congest...

Location

United States , Austin

Salary:

128700.00 - 261300.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

3+ years of experience in the field of compilers
Experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX) and software stack (e.g., ONNX, MLIR, XLA, TVM, TensorRT, etc)
Expertise in writing production quality Python/C++ code
Expertise in the software development life-cycle - coding, debugging, optimization, testing, integration
BS, or higher degree, in CS/CE/EE, or equivalent

Job Responsibility

Build and evolve the model compilation toolchain used to deploy large‑scale perception, prediction, and planning models to the AV
Architect new compiler passes and analysis that improve build times, memory footprint, and runtime latency while preserving—or intentionally trading off—fidelity under strict safety and reliability constraints
Collaborate closely with kernels, runtime, and hardware teams to co‑design interfaces, shape accelerator capabilities, and ensure the compiler exposes the right abstractions to unlock peak performance on each platform
Set standards and best practices for model export, validation, and debugging so that AV teams can iterate quickly with clear, reproducible performance and accuracy characteristics

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Staff ML Compiler Engineer

As a Staff Compiler Engineer on the AI Kernels & Compilers team, you will own th...

Location

United States , Austin

Salary:

185100.00 - 335300.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

5+ years of experience in the field of compilers
Experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX) and software stack (e.g., ONNX, MLIR, XLA, TVM, TensorRT, etc)
Expertise in writing production quality Python/C++ code
Expertise in the software development life-cycle - coding, debugging, optimization, testing, integration
BS, or higher degree, in CS/CE/EE, or equivalent

Job Responsibility

Own and evolve the model compilation toolchain used to deploy large‑scale perception, prediction, and planning models to the AV
Architect new compiler passes and analysis that improve build times, memory footprint, and runtime latency while preserving—or intentionally trading off—fidelity under strict safety and reliability constraints
Collaborate closely with kernels, runtime, and hardware teams to co‑design interfaces, shape accelerator capabilities, and ensure the compiler exposes the right abstractions to unlock peak performance on each platform
Set standards and best practices for model export, validation, and debugging so that AV teams can iterate quickly with clear, reproducible performance and accuracy characteristics

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Lead AI Compiler Engineer

We are looking for an AI Compiler Engineer to join this high impact team working...

Location

India , Hyderabad

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

Excellent C/C++ and Python coding skills
Good understanding of SIMD, VLIW processor architecture
Experience with vectorized programming (SIMD)
Thorough understanding of fixed and floating point arithmetic
Good understanding of various operators in state-of-the-art AI models
Knowledge of low-level hardware details (cache hierarchy, DMA programming)
Excellent problem-solving skills especially on debug and a passion for on-device AI
Prefer candidates with past experience on AI compiler design
BS/Masters/PhD degree in Computer Science, Electrical Engineering, or a related field

Job Responsibility

Graph transformation
Constant folding
Operator fusion: Identify and implement performance optimization opportunities by reducing memory traffic through operator fusion at different memory hierarchy levels e.g., attention block
Common subexpression elimination
Problem partitioning and dataflow orchestration: Design of algorithms to optimally map given AI operation to the NPU comprising of an interconnected array of AI engines
Design and implementation of algorithms to orchestrate dataflow through multi-level memory hierarchy
Kernel Design and Development: Design and implement highly optimized C++/intrinsic based kernels for AI related operators
Develop vectorized code that leverages SIMD (Single Instruction, Multiple Data) and VLIW (Very Long Instruction Word) for optimal performance
Perform performance, program memory and accuracy tradeoffs
Testing and Validation: Develop CPU models for the ML operators in C++/ Python to validate accuracy

LLM Inference Frameworks and Optimization Engineer

At Together.ai, we are building state-of-the-art infrastructure to enable effici...

Location

United States , San Francisco

Salary:

160000.00 - 230000.00 USD / Year

Together AI

Expiration Date

Until further notice

Requirements

3+ years of experience in deep learning inference frameworks, distributed systems, or high-performance computing
Familiar with at least one LLM inference frameworks (e.g., TensorRT-LLM, vLLM, SGLang, TGI(Text Generation Inference))
Background knowledge and experience in at least one of the following: GPU programming (CUDA/Triton/TensorRT), compiler, model quantization, and GPU cluster scheduling
Deep understanding of KV cache systems like Mooncake, PagedAttention, or custom in-house variants
Proficient in Python and C++/CUDA for high-performance deep learning inference
Deep understanding of Transformer architectures and LLM/VLM/Diffusion model optimization
Knowledge of inference optimization, such as workload scheduling, CUDA graph, compiled, efficient kernels
Strong analytical problem-solving skills with a performance-driven mindset
Excellent collaboration and communication skills across teams

Job Responsibility

Design and develop fault-tolerant, high-concurrency distributed inference engine for text, image, and multimodal generation models
Implement and optimize distributed inference strategies, including Mixture of Experts (MoE) parallelism, tensor parallelism, pipeline parallelism for high-performance serving
Apply CUDA graph optimizations, TensorRT/TRT-LLM graph optimizations, and PyTorch-based compilation (torch.compile), and speculative decoding to enhance efficiency and scalability
Collaborate with hardware teams on performance bottleneck analysis, co-optimize inference performance for GPUs, TPUs, or custom accelerators
Work closely with AI researchers and infrastructure engineers to develop efficient model execution plans and optimize E2E model serving pipelines

What we offer

competitive compensation
startup equity
health insurance
other competitive benefits

Fulltime

Software Engineer - Compiler

Sigma Computing is redefining business intelligence by making complex data analy...

Location

United States , San Francisco

Salary:

170000.00 - 215000.00 USD / Year

Sigma Computing

Expiration Date

Until further notice

Requirements

5+ years experience engineering high-quality software systems
Demonstrated success building and maintaining complex infrastructure or core platform services
Deep understanding of Computer Science fundamentals, particularly in compilers, algorithms, SQL Optimization
Passion for teamwork, technical ownership, and continually raising the engineering bar
Experience working in an iterative, high-cadence environment

Job Responsibility

Tackle core challenges at the intersection of data modeling, query compilation, and large-scale interactive analytics
Design, build, and maintain sophisticated compiler infrastructure and intermediate representations that translate spreadsheet operations into optimized query plans
Apply advanced optimization strategies to improve performance and accuracy across a wide range of query workloads and data architectures
Contribute to both backend (Rust) and key frontend foundations (TypeScript), evolving critical abstractions
Debug, analyze, and resolve complex issues, ensuring robustness and maintainability
Collaborate with engineers and product stakeholders to review designs and code, driving technical best practices and architectural decisions

What we offer

Equity
Generous health benefits
Flexible time off policy
Paid bonding time for all new parents
Traditional and Roth 401k
Commuter and FSA benefits
Lunch Program
Dog friendly office

Fulltime

Early Career Compiler Engineer - LLVM

We are seeking a new college graduate or early career Compiler Engineer to help ...

Location

United States , Sunnyvale

Salary:

Not provided

Cerebras Systems

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, PhD, or foreign equivalents in computer science, engineering, or related field
Strong conceptual or hands-on experience with LLVM, particularly in backend code generation
One or more years of related work experience on compilers/toolchain development or systems programming
Strong proficiency in C++, especially modern C++ practices
Understanding of computer architecture, instruction sets, and memory models
Familiarity with linkers, assemblers, and binary formats

Job Responsibility

Design and implement low-level compiler components (compiler backend, assembler, linker) targeting single cores
Automate generation of new LLVM targets using high-level architecture description
Identify and develop novel LLVM mid-end and backend passes that leverage architectural features and optimize code generation for performance, including memory usage, instruction scheduling, and register allocation
Analyze performance bottlenecks and iterate on codegen strategies for complex workloads
Work closely with hardware architects, kernel developers, and high-level language designers to ensure end-to-end performance
Participate in technical reviews, design discussions, and collaborative debugging

What we offer

Build a breakthrough AI platform beyond the constraints of the GPU
Publish and open source their cutting-edge AI research
Work on one of the fastest AI supercomputers in the world
Enjoy job stability with startup vitality
Our simple, non-corporate work culture that respects individual beliefs

Fulltime

Compiler Engineer

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. ...

Location

United States , Sunnyvale

Salary:

Not provided

Cerebras Systems

Expiration Date

Until further notice

Requirements

Bachelor's, Master’s, PhD, or foreign equivalent in computer science, engineering, or related field
1+ years of experience working with compilers, language tooling, or closely related systems software. and/or distributed systems and/or close-to-hardware programming
Familiarity with modern C++
Experience designing or implementing compiler components such as parsers, type systems, semantic analysis, or IR transformations
Strong understanding of data structures, algorithms, and software engineering fundamentals

Job Responsibility

Design and implement front-end language features, semantic analysis, intermediate representations, and lowering pipelines from CSL to MLIR dialect(s) and LLVM IR
Develop and refine abstraction layers between the CSL language frontend, MLIR, and LLVM IR
Collaborate with kernel developers and application teams to design language constructs that improve expressiveness, clarity, productivity, and performance
Extend the compiler to support future hardware architectures and evolving platform capabilities
Identify and implement program analysis and optimization techniques
Write tests, benchmarks, and documentation to ensure correctness, performance, and maintainability
Participate in code reviews and contribute to improving compiler infrastructure, tooling, and developer workflows

What we offer

Build a breakthrough AI platform beyond the constraints of the GPU
Publish and open source their cutting-edge AI research
Work on one of the fastest AI supercomputers in the world
Enjoy job stability with startup vitality
Our simple, non-corporate work culture that respects individual beliefs

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Compiler Optimization Engineer

Job Description

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