AI Processor Hardware​/Software Integration Engineer; College Graduate

Global Foundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers differentiated, power efficient and high‑performance solutions for high growth markets. GF is a trusted and holistic technology partner for customers around the world. GF’s talented, global team remains focused every day on security, longevity, and sustainability.

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We offer many full‑time employment paths for recent graduates, which provide accelerated training in a fast-paced work environment, cross‑functional working opportunities, and talent mobility. New college graduates are provided with mentorship, networking, and leadership opportunities, which give our new team members life‑long connections and skills.

Launch your engineering career in hardware/software integration and validation of next‑generation RISC‑V CPUs and AI accelerators. Gain hands‑on experience across hardware, software, AI workloads, and benchmarking while helping deliver high‑quality Physical AI products.

• Execute compliance tests, regressions, benchmarks, and AI workloads across simulation, emulation, FPGA, and hardware platforms.
• Reproduce, debug, document, and track failures using logs, traces, waveforms, and performance counters.
• Validate CPU, NPU, memory, interrupt, exception, and software execution features with guidance from senior engineers.
• Develop automation for test execution, result checking, reporting, and dashboards.
• Collaborate with architecture, RTL, verification, compiler, software, performance, and infrastructure teams to resolve issues.
• Document test procedures and findings, and communicate progress clearly across globally distributed teams.

• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.

• Education – Graduating with a Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, Software Engineering, or a related field from an accredited degree program.
• Academic, internship, research, or project experience in computer architecture, embedded systems, software testing, or machine learning systems.
• Programming experience in Python and C or C++, plus basic Linux, Shell, and Git skills.
• Foundational knowledge of CPU architecture, memory systems, operating systems, and software development.
• Strong analytical, problem‑solving, learning, and written and verbal communication skills.
• Must have at least an overall 3.0 GPA and proven good academic standing.
• Language Fluency - English (Written & Verbal)

• Prior related internship or co‑op experience.
• Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.
• Strong interest in leveraging AI tools and emerging technologies to enhance productivity, streamline workflows, and support effective decision‑making.
• Project management skills, i.e. the ability to innovate and execute solutions that matter; the ability to navigate ambiguity.
• Strong written and verbal communication skills
• Strong planning & organizational skills
• Coursework or projects involving RISC‑V or NPU systems.
• Familiarity with Assembly, instruction traces, waveforms, Linux, or low‑level software.
• Exposure to ONNX, PyTorch, Tensor Flow, MLPerf, neural network quantization, or AI inference workloads.
• Participation in internships, capstone or open‑source projects, engineering competitions, or laboratory research.

Expected Salary Range $72,000.00 - $ The exact Salary…