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About Blaize
Blaize provides a full-stack programmable processor architecture suite and low-code/no-code software platform that enables AI processing solutions for high-performance computing at the edge and in the data center. Blaize delivers real-time insights at low power, high efficiency, and minimal cost-driving next-gen AI adoption across industrial, automotive, and smart infrastructure markets.

With $330M+ raised from investors including DENSO, Mercedes-Benz AG, Samsung, and Franklin Templeton, Blaize is a global team headquartered in California with branches in India, the UK, Middle East-and now growing its strategic presence in East Asia.

SUMMARY

Experienced Software Engineer with a keen interest in working with an innovative processor architecture targeted at AI and other cutting-edge applications with Blaize's unique Graph Stream Processors (GSPs), specifically designed to solve present-day and future AI challenges.

JOB RESPONSIBILITIES

• Development of solutions for customers through integration of software libraries and hardware developed by Blaize with packages and applications from across the Linux ecosystem.
• Development and integration of applications and systems for machine learning, DNNs, AI and computer vision systems.
• Work with Sales/FAE and customers to provide technical expertise and debugging to enable customer designs and products to be brought to production.
• Demo, PoC and prototype system development.
• Design, develop, test, and debug solutions for AI and Machine Learning based systems.
• ML network bringup and optimization for Blaize hardware.
• GStreamer based application development.
• Development of systems to run as standalone embedded systems.
• Analyze and enhance efficiency, stability, and scalability of system resources.
• Design and implementation of software for embedded devices and systems from requirements to production.

EDUCATION AND EXPERIENCE

• BEng or BSc Degree in Engineering, Computer Science or Electronics; or equivalent experience.
• 5+ years of relevant experience.
• Solid practical experience of:
  • Languages: Python, C/C++, OpenCL, CUDA
  • ML Frameworks: TensorFlow, PyTorch, Caffe2, ONNX, OpenVx
  • Linux Environment
  • Task and Data parallel / concurrent systems
  • AI Network optimisations: quantization, compression (pruning etc.)
• Experience developing and delivering on projects using best industry practices and methods.
• Knowledge of development of embedded system OS's and applications using Buildroot Linux, RTOS, GStreamer is a plus.

Blaize is an equal opportunity employer. We pride ourselves on having a diverse workforce and we do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender, gender identity, and gender expression of our applicants and employees, and we honor requests for preferred pronouns. It is our policy to comply with all applicable national, state, and local laws pertaining to nondiscrimination and equal opportunity.