Staff Software Engineer, GenAI and Computational Photography
Job Summary
Job Description
- 8+ years software development experience (C/C++, Python)
- 5+ years testing and launching software products
- 5+ years experience with ML design and infrastructure
- Experience with ML frameworks (Jax, Tensorflow, Pytorch)
- Develop and optimize Gen-AI models for on-device deployment
- Master's/PhD in Engineering or Computer Science
- Experience in a technical leadership role
- Experience with complex, matrixed organizations
- Product experience in Generative Imaging, Computational Photography
9 skills required
Job Details
Minimum qualifications:
- Bachelor’s degree in Computer Science or Electrical Engineering, or a related field, or equivalent practical experience.
- 8 years of experience in software development in one or more general purpose programming languages including but not limited to: C/C++, Python.
- 5 years of experience testing, and launching software products.
- 5 years of experience with one or more of the following: Speech/audio, reinforcement learning, machine learning infrastructure, or specialization in another machine learning field.
- 5 years of experience with ML design and ML infrastructure.
- 3 years of experience with software design and architecture.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience in advanced work or educational experience in Computer Vision, Machine Learning or Graphics.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Product experiences in Generative Imaging, Computational Photography, Camera Algorithm, and ML for image enhancement.
About the job
We develop Computational Photography and Machine Learning algorithms to create magical camera features on Google Pixel devices. We work on end-to-end feature delivery, from the algorithm initiatives to the final on-device integration and optimization. We put emphasis on product excellence and thrive in optimizing every aspect of our feature and engineering practice.
We work across functions, (e.g., Research, Silicon, Product, and UX, to enable novel ML and hardware technologies, and are involved in setting the roadmaps of future Pixel hardware and Google Tensor SOCs. Every year, the team delivers dozens of solutions to improve the camera quality, and enable impactful user-facing features that become marketing highlights.
The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.
Responsibilities
- Develop large Gen-AI models for user-facing features. Iterate model quality through architecture design, advanced training techniques, fine-tuning, sampling, and data curation.
- Optimize model performance through on-device ML techniques, such as quantization, distillation, and hardware acceleration such as edge
Tensor Processing Unit (TPU). - Possess programming skills in Python or C++, with knowledge of Machine Learning (ML) frameworks such as Jax, Tensorflow, or Pytorch.
- Evaluate and prototype state-of-the-art research papers in computational photography, computer vision, graphics, and Gen-AI.
- Collaborate with Research, Silicon, and Product teams for product launch.
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About The Company
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
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