17 часов назад
Performance Library Engineer (AI/ML)
130 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Performance Library Engineer (AI/ML): Creating and optimizing performance-critical libraries and frameworks for an energy-efficient programmable processor with an accent on low-level C/C++ development, hardware/software co-design, and parallel programming. Focus on profiling and benchmarking performance, designing libraries for resource-constrained real-time environments, and collaborating with compiler and embedded engineering teams to improve compute efficiency.
Location: San Jose, CA or Pittsburgh, PA, United States
Salary: $130,000–$230,000 per year, plus equity and benefits
Company
develops energy-efficient programmable processors designed to enable continuous AI/ML processing in IoT devices.
What you will do
- Create and optimize performance-critical libraries and frameworks for the Fabric processor.
- Develop, debug, and maintain low-level C/C++ systems code with clean interfaces and modular architecture.
- Analyze and maximize software performance on a dataflow hardware architecture.
- Design frameworks, libraries, benchmarks, and performance profiling tools for resource-constrained and real-time environments.
- Collaborate with compiler and embedded engineering teams, providing feedback on compiler enhancements and performance tools.
- Work on hardware/software co-design and applications for customers.
Requirements
- 5+ years of software development experience and a bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
- Hands-on experience working closely with hardware and exposure to at least two RISC, DSP, or GPU platforms.
- Experience with framework and library design in resource-constrained or real-time environments.
- Experience with CUDA, HIP, or other parallel programming models.
- Strong C/C++ systems-level programming, debugging, performance profiling, benchmark design, or comparative hardware analysis skills.
- Ability to communicate complex technical systems clearly and collaborate across multiple engineering teams.
Nice to have
- Exposure to PTX, LLVM IR, or MLIR.
- Expertise in two or more areas including linear algebra, machine learning, image processing, signal processing, audio processing, SDR, real-time programming, or robotics.
Culture & Benefits
- 401(k) match and company-paid benefits.
- Equity program and paid parental leave.
- Flexibility and support for personal and professional development.
- Collaborative work across compiler, embedded, and other engineering teams.
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