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SW Algorithm Engineer (AI)

136 300 - 231 700$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
SW Algorithm Engineer (AI): Designing, developing, and deploying machine learning and deep learning algorithms for complex image and signal processing applications with an accent on computer vision, model architecture, and production robustness. Focus on inventing approaches for challenging datasets, optimizing performance under real-world constraints, and improving scalable algorithm systems for semiconductor inspection.

Location: Milpitas, California, United States; onsite role

Salary: $136,300–$231,700 annually

Company

hirify.global develops inspection tools, metrology systems, process solutions, and computational analytics for semiconductor and electronics manufacturing.

What you will do

  • Design, develop, and optimize machine learning and deep learning algorithms for complex image and signal processing applications.
  • Own algorithm development from concept and prototyping through production deployment.
  • Invent, evaluate, and implement computer vision approaches for challenging real-world datasets.
  • Analyze system performance, debug complex issues, and improve production robustness and accuracy.
  • Collaborate with software, systems, applications, and field engineering teams to deliver solutions.
  • Contribute to architecture decisions and improve algorithm performance, scalability, and maintainability.

Requirements

  • Strong background in one or more of machine learning, deep learning, computer vision, or image processing.
  • Hands-on experience with at least one major deep learning framework, such as TensorFlow or PyTorch.
  • Experience training, validating, and deploying ML/DL models in production environments.
  • Solid C++ and/or Python programming skills, with object-oriented and/or functional programming experience.
  • Ability to design model architectures, customize loss functions, and optimize performance for real-world constraints.
  • Strong problem-solving skills and ability to work on ambiguous, open-ended challenges.
  • Minimum qualifications: doctorate with 0 years of related experience, master's degree with 3 years of related experience, or bachelor's degree with 5 years of related experience.

Nice to have

  • Experience with large-scale, high-resolution image data or industrial inspection systems.
  • Familiarity with performance optimization, GPU acceleration, or real-time systems.
  • Experience in cross-functional product environments from R&D through customer deployment.

Culture & Benefits

  • Work on semiconductor inspection, metrology, and analytics technologies supporting AI, data centers, automotive, and electronic devices.
  • Benefits may include medical, dental, vision, life insurance, 401(k) matching, ESPP, student debt assistance, tuition reimbursement, and career development programs.
  • Additional benefits include paid time off, company holidays, family care and bonding leave, wellness programs, and financial planning support.
  • Interviews must reflect the candidate’s individual skills and authentic thinking; AI or recording tools may not be used unless explicitly approved as an accommodation or invited by the interviewer.

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