[Remote] Sr. Staff Software Engineer – High Performance GPU Inference Systems at Groq

Palo Alto, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Cloud Computing, HardwareIndustries

Skills

Key technologies and capabilities for this role

GPU architectureCUDAROCmDistributed systemsLow-latency systemsPerformance optimizationProfilingObservabilityDiagnostics toolingOS internalsParallel algorithmsHW/SW co-designHeterogeneous GPU environmentsGlobal schedulingSystem performanceML compilersOrchestrationCloud infrastructure

Questions & Answers

Common questions about this position

What skills are required for the Sr. Staff Software Engineer role?

Must-haves include proven ability to ship high-performance distributed systems with large-scale GPU deployments, deep knowledge of GPU architecture, OS internals, parallel algorithms, and HW/SW co-design, proficiency in C++, Python, or Rust for hardware-aware code, obsession with performance profiling and GPU kernel tuning, passion for automation and testability, comfort navigating stack layers, strong communication, and an ownership-driven mindset.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this role remote or does it require working from the office?

This information is not specified in the job description.

What is the company culture like at Groq?

This information is not specified in the job description.

What makes a strong candidate for this role?

A strong candidate has all the must-haves like experience shipping production-grade distributed GPU systems, deep GPU architecture knowledge, proficiency in low-level systems languages, performance obsession, and an ownership-driven mindset; nice-to-haves include experience with GPU inference systems like Triton or TensorRT, deploying ML/HPC workloads on clusters, and multi-GPU frameworks like PyTorch DDP.

Groq

AI inference technology for scalable solutions

About Groq

Groq specializes in AI inference technology, providing the Groq LPU™, which is known for its high compute speed, quality, and energy efficiency. The Groq LPU™ is designed to handle AI processing tasks quickly and effectively, making it suitable for both cloud and on-premises applications. Unlike many competitors, Groq's products are designed, fabricated, and assembled in North America, which helps maintain high standards of quality and performance. The company targets a variety of clients across different industries that require fast and efficient AI processing capabilities. Groq's goal is to deliver scalable AI inference solutions that meet the growing demands for rapid data processing in the AI and machine learning market.

Mountain View, CaliforniaHeadquarters

2016Year Founded

$1,266.5MTotal Funding

SERIES_DCompany Stage

AI & Machine LearningIndustries

201-500Employees

Benefits

Remote Work Options

Company Equity

Risks

Increased competition from SambaNova Systems and Gradio in high-speed AI inference.

Geopolitical risks in the MENA region may affect the Saudi Arabia data center project.

Rapid expansion could strain Groq's operational capabilities and supply chain.

Differentiation

Groq's LPU offers exceptional compute speed and energy efficiency for AI inference.

The company's products are designed and assembled in North America, ensuring high quality.

Groq emphasizes deterministic performance, providing predictable outcomes in AI computations.

Upsides

Groq secured $640M in Series D funding, boosting its expansion capabilities.

Partnership with Aramco Digital aims to build the world's largest inferencing data center.

Integration with Touchcast's Cognitive Caching enhances Groq's hardware for hyper-speed inference.

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