Senior Deep Learning Engineer
3 weeks ago
This range is provided by Acceler8 Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$150,000.00/yr - $230,000.00/yr
Additional compensation typesStock options
Direct message the job poster from Acceler8 Talent
Senior Deep Learning Engineer (Quantization, Sparsity)
We are seeking a Senior Deep Learning Engineer to enhance our team of experts. This role is crucial for advancing our leading-edge technology, integrating our sophisticated hardware with advanced software frameworks. As a Senior Deep Learning Engineer in our team, you will be pivotal in pushing AI technology forward, making impactful advancements more accessible.
Our company is at the forefront of AI innovation, specializing in the development of both hardware and software solutions that redefine the possibilities of artificial intelligence. We are dedicated to designing products that not only meet the immediate demands of the AI industry but also anticipate and adapt to future trends and challenges. Our team consists of committed professionals focused on making significant advancements in AI, ensuring our solutions are both innovative and practical.
The Senior Deep Learning Engineer position is designed for those who thrive on the challenges of implementing neural networks on state-of-the-art hardware. Your responsibilities will include optimizing various neural networks for peak efficiency and devising an automated model optimization pipeline for efficient on-chip inference. This role is ideal for those who excel in pushing the boundaries of conventional AI technology.
What We Offer:
- The opportunity to work with groundbreaking AI technology.
- A collaborative environment with leading experts in the industry.
- Access to cutting-edge hardware and software to fuel your development work.
- A platform to innovate and make a significant impact in the AI field.
- Professional growth opportunities in a rapidly evolving technology landscape.
Key Responsibilities:
- Optimize neural networks to ensure peak performance on our advanced hardware.
- Create and manage a model optimization pipeline for streamlined on-chip inference.
- Collaborate with hardware engineers to ensure seamless software-hardware integration.
- Address and solve functional and performance bottlenecks in software.
- Contribute to the continual improvement of our AI solutions.
Important Keywords: Senior Deep Learning Engineer, neural network optimization, model optimization, on-chip inference, AI innovation, software-hardware synergy, performance enhancement, automated pipeline creation, collaborative development, sector influence.
Seniority level- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology
- Industries Semiconductor Manufacturing
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