AI Software Engineer (2027 New College Graduate)

Location: Santa Clara, California, United States; other location: Richardson, Texas, United States

Salary: $72,000–$141,700 per year; exact salary depends on qualifications, experience, and location.

Company

hirify.global manufactures essential semiconductors and develops differentiated, power-efficient, high-performance solutions for high-growth markets, including AI.

What you will do

• Integrate, deploy, test, and scale large language, computer vision, and predictive machine learning models within production-oriented AI pipelines.
• Profile latency, memory usage, throughput, and computational footprint, then optimize AI inference workflows for edge devices and cloud infrastructure.
• Design and implement maintainable software components and APIs using modern AI-assisted development tools for prototyping, testing, debugging, and code review.
• Maintain technical documentation covering engineering designs, experiment configurations, performance benchmarks, software interfaces, and API architectures.
• Communicate technical results and trade-offs with software, machine learning, and hardware architecture teams.
• Follow Environmental, Health, Safety & Security requirements and programs.

Requirements

• Currently graduating with a Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Data Science, or a related field from an accredited degree program.
• Overall GPA of at least 3.0 and good academic standing.
• Experience with at least one major machine learning framework, such as PyTorch or TensorFlow.
• Strong object-oriented programming fundamentals and experience with software version control using GitLab, GitHub, or related tools.
• Ability to navigate ambiguous technical problems, learn new tools quickly, and communicate technical trade-offs effectively.
• English fluency in written and verbal communication.

Nice to have

• Prior related internship or co-op experience.
• Leadership experience in the workplace, school projects, competitions, or similar activities.
• Strong interest in AI tools and emerging technologies for productivity, workflow improvement, and decision-making.
• Project management, innovation, execution, and ambiguity-navigation skills.
• Strong written and verbal communication, planning, and organizational skills.
• Familiarity with low-level, high-performance programming, including kernel optimization, systems programming, or hardware accelerators.
• Exposure to cloud systems such as AWS and participation in AI/ML hackathons, open-source projects, or university research labs.

Culture & Benefits

• Full-time employment path for recent graduates.
• Accelerated training in a fast-paced work environment with cross-functional opportunities.
• Mentorship, networking, leadership opportunities, and talent mobility.
• Commitment to security, longevity, sustainability, equal opportunity, and workplace diversity.