ZipRecruiter

Log In

1

Senior Kernel Developer Jobs in Arizona (NOW HIRING)

Prosum Inc.

Sr. Machine Learning Engineer

Phoenix, AZ · On-site

$130K - $150K/yr

Sr. Machine Learning Engineer Salary Range: $130k to $150k Our client is seeking a Sr. Machine ... Responsibilities include eliminating hardware bottlenecks through CUDA kernel tuning and GPU ...

Viasat

Senior Embedded Software Engineer (Space)

Tempe, AZ · On-site

$165 - $260.50/hr

What you'll do This is a role for a senior Embedded Software Engineer within Space Infrastructure ... Familiarity with Linux kernel driver development/modifications * Familiarity with RTOS and ...

Accenture

Senior Agentic Identity Security Manager

Scottsdale, AZ · On-site

$115K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Specialist Forward Deployed Engineers focused on the emerging agentic AI identity stack, designing ... Kernel) * Minimum of 1 year of MCP server development or integration experience * Minimum of 4 ...

Inficare Technologies

Lead AI Engineer

Phoenix, AZ · On-site

$99K - $131K/yr

Mentor senior engineers and raise the technical bar for agentic AI development through example and ... Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with ...

All JobsKernel Developer JobsSenior Kernel Developer JobsSenior Kernel Developer Jobs in Arizona

Senior Kernel Developer information

What is the difference between Senior Kernel Developer vs Kernel Engineer?

AspectSenior Kernel DeveloperKernel Engineer
CredentialsBachelor's or higher in Computer Science, experience in kernel developmentSimilar credentials, often with specialized Linux or OS certifications
Work EnvironmentResearch and development, debugging, code optimizationDesign, implementation, testing of kernel modules and components
Industry UsageTech companies, hardware manufacturers, OS developersEmbedded systems, OS vendors, hardware integration

Both roles require strong knowledge of operating systems and kernel architecture. A Senior Kernel Developer typically focuses on advanced development and optimization, while a Kernel Engineer emphasizes designing and implementing kernel components. The roles often overlap but differ mainly in scope and focus within kernel development projects.

What are the most commonly searched types of Kernel Developer jobs in Arizona?

The most popular types of Kernel Developer jobs in Arizona are:

What are popular job titles related to Senior Kernel Developer jobs in Arizona?

For Senior Kernel Developer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Senior Kernel Developer jobs in Arizona look for?

The top searched job categories for Senior Kernel Developer jobs in Arizona are:

What cities in Arizona are hiring for Senior Kernel Developer jobs?

Cities in Arizona with the most Senior Kernel Developer job openings:

Senior Kernel Developer jobs near you
Infographic showing various Senior Kernel Developer job openings in Arizona as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Sr. Machine Learning Engineer

Prosum Inc.

Phoenix, AZ • On-site

$130K - $150K/yr

Other

Posted 11 days ago

Job description

Job Description
Sr. Machine Learning Engineer
Salary Range: $130k to $150k
Our client is seeking a Sr. Machine Learning Engineering for a direct hire role to sit in North Phoenix, AZ or Hillsboro, OR. This role will be onsite 4 days a week and 1 remote day.
JOB SUMMARY
The role of Senior Machine Learning Engineer will architect and optimize real-time, high-throughput, and ultra-low latency image pipelines for next-generation Mask Inspection Tools. Responsibilities include eliminating hardware bottlenecks through CUDA kernel tuning and GPU parallel computing, ensuring deep learning models and CV algorithms seamlessly processing massive, high-bandwidth streaming data at production scale.
ESSENTIAL DUTIES AND RESPONSIBILITIES
High-Performance Computing Pipeline Architecture
  • Design, implement, and optimize high-throughput, low-latency image processing pipelines for real-time optical inspection and machine vision systems.
  • Develop scalable architectures capable of processing large volumes of imaging data while meeting stringent latency and reliability requirements.
  • Profile and optimize system performance across CPU, GPU, memory, and I/O subsystems.
GPU Acceleration
  • Design, develop, and optimize CUDA kernels to accelerate deep learning inference and classical computer vision algorithms.
  • Maximize GPU utilization through efficient memory management, kernel optimization, and parallel programming techniques.
  • Evaluate and implement performance improvements using NVIDIA GPU technologies and profiling tools.
Model Deployment & Optimization
  • Optimize, quantize, and deploy machine learning models using TensorRT, ONNX Runtime, or similar inference frameworks.
  • Integrate AI models into production-grade C++ and Python applications.
  • Improve inference throughput, latency, and resource utilization while maintaining model accuracy.
  • Develop automated deployment and validation pipelines for machine learning models.
Concurrency & Systems Optimization
  • Architect and implement multi-threaded, high-concurrency software components for data acquisition, buffering, streaming, and real-time processing.
  • Design robust synchronization and communication mechanisms between hardware interfaces and AI processing pipelines.
  • Optimize end-to-end system performance for deterministic, real-time execution.
Cross-Functional Collaboration
  • Partner with machine learning scientists, computer vision engineers, hardware engineers, and software developers to deliver integrated AI solutions.

Please view our Privacy Policy.

Apply