AI/ML Systems Engineer (2027 New College Graduate)

Location: USA - Texas - Richardson

Salary: $86,000–$148,000 per year

Company

hirify.global manufactures semiconductors for AI and other high-growth markets, with a focus on security, longevity, sustainability, and energy-efficient solutions.

What you will do

• Characterize AI/ML inference and training workloads, quantify compute and memory behavior, and identify bottlenecks using roofline analysis, operational intensity profiling, and bottleneck decomposition.
• Build and validate analytical or code-based models for throughput, latency, utilization, bandwidth consumption, and efficiency across real or projected hardware.
• Collaborate with hardware, compiler, and runtime engineers on memory subsystem sizing, scheduling, kernel optimization, and data layout tradeoffs.
• Own benchmarking and modeling efforts end to end, maintain reproducible analysis artifacts, and communicate findings through reports, presentations, and design reviews.
• Perform activities safely and support Environmental, Health, Safety & Security requirements and programs.

Requirements

• Graduating with a Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field from an accredited degree program.
• Overall GPA of at least 3.0 and good academic standing.
• Strong mathematical reasoning, including linear algebra, probability, and numerical analysis for performance estimation and numerical precision questions.
• Working understanding of computer architecture, including cache hierarchies, memory bandwidth, and CPU pipeline fundamentals.
• Experience with Python and data analysis tools such as NumPy, pandas, matplotlib, or similar.
• Exposure to machine learning frameworks such as PyTorch or TensorFlow.
• Written and verbal fluency in English.
• Availability to travel up to 10%.

Nice to have

• Prior related internship or co-op experience.
• Leadership experience in the workplace, school projects, competitions, or similar settings.
• Interest in using AI tools and emerging technologies to improve productivity, streamline workflows, and support decision-making.
• Project management skills, including innovating, executing meaningful solutions, and navigating ambiguity.
• Strong written and verbal communication skills.
• Strong planning and organizational skills.
• Familiarity with the roofline model, FLOP counting, operator-level profiling, quantization analysis, or performance KPI frameworks.
• Exposure to compilation or intermediate representation concepts, including MLIR, IREE, TVM, or similar AI compiler infrastructure.

Culture & Benefits

• Full-time employment for new college graduates.
• Accelerated training in a fast-paced work environment.
• Cross-functional working opportunities and talent mobility.
• Mentorship, networking, and leadership opportunities.
• Work in a global semiconductor organization focused on security, longevity, sustainability, and energy-efficient solutions.