AI-ML Manager (NPDE)
NPDE AI/ML Leader
Position/Role: NPDE AI/ML Leader
Location: Bangalore
Who are we and what do we do(About the team, products/ charter/ technology challenges)
The NPDE (New Product Development Engineering) team at Texas Instruments focuses on accelerated product design, lifecycle management, and engineering-to-production solutions. As a part of this strategy for growth we are investing in resources for AI/ML based accelerations for Product Development, enabling us introduce new product designs with highest quality and efficiency.
Our charter is to build AI/ML based acceleration platforms that will enable the silicon design teams to accelerate the development of silicon designs, verification of the design, layout/physical design and accelerate building the test solutions for these designs with higher and better-quality gates. Our goal is to maximize product throughput by synergizing tools, technology, data analytics, EDA, and IT infrastructure.
We are seeking a highly motivated NPDE AI/ML Leader to drive this effort. If you are passionate to push the envelope of product (silicon and software) development technology and enjoy leading transformational changes in a fast-paced environment, here is the opportunity to be part of TI s next generation product development journey.
What will you be doing in this role(Responsibilities)
As an NPDE AI/ML leader, you will be defining, developing and deploying strategic AI solutions by closely working with the domain experts to accelerate new product development.
- Develop deep awareness of Silicon development processes, EDA tools and translate complex problems into roadmaps of elegant touch free solutions for a design / verification / layout / validation / test engineer.
- Set the strategic and technical design of AI architectures, and come up with actionable plans for SW experts and EDA engineers aligning with futuristic goals/ trends in semiconductor development.
- Lead a team of software specialists to define and operationalize forward looking software solutions to centralize operations management for all facets of silicon development i.e. in design, verification, layout, validation and test.
- Embrace AI-driven software technologies, data science & machine learning techniques to transform current flows and development procedures, enable operational efficiency and cost leadership. Leverage statistical approaches, trend and pattern analysis, linear mixed models for random & fixed effects, nonlinear/combinatorial optimization in finite search space, network models, and machine learning for predictions of design behaviour.
- Closely collaborate with design / verification / layout / validation / test technologists and engineers in the company and industry to influence architectures and optimize/customize accelerated development EDA solutions. Responsibilities also involve evaluation of technology approaches to solve real-world problems and participate in standards councils.
- The candidate will manage accelerated development deliverables with a strong quality and productivity mindset and the solutions should enable development of highly customized semiconductor products aligning with large fluctuations in customer demand at speed and scale
Minimum Requirements:
- Bachelor s/Master s degree in Computer Science or Electronics, Electrical Engineering or related field of study
- 8+ Years of Relevant Experience
Preferred Qualifications:
- Good understanding of the semiconductor development process
- 8+ years of experience as engineering expert with progressive experience in developing and deploying AI/ML solutions, preferably in EDA space
- Experience in few of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing and neural deep learning methods
- Advanced proficiency in system design and architecture, generative AI, machine learning to deliver high-performance software and optimizing of algorithms.
- Strong analytical and problem-solving skills, combined with a passion for research, and technology and the ability to work in teams and collaborate effectively with people in across geographical areas in the world.
- Excellent communication skills and the ability to thrive in a fast-paced, collaborative environment.
- Team-work is imperative in this role
