New College Graduates Overview:
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.
Summary of Role:
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.
Essential Responsibilities include:
- 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.
Other Responsibilities:
- Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.
Required Qualifications:
- 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)
Preferred Qualifications:
- 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, TensorFlow, MLPerf, neural network quantization, or AI inference workloads.
- Participation in internships, capstone or open-source projects, engineering competitions, or laboratory research.
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Expected Salary Range
$72,000.00 - $124,800.00
The exact Salary will be determined based on qualifications, experience and location.
