Analog Circuit Design Engineer - AI/ML methodology
At a glance
Mid-level AI Engineering role at Edbz. Bengaluru · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Design analog integrated circuits, then model and document them for products across several application areas
- Draw circuit schematics and simulate their functionality and performance, then support layout and post-layout checks
- Use AI and machine-learning tools to speed product development and create new circuit approaches
- Lead adoption of these methods across product teams, with opportunities to develop ideas for patents and publications
What you bring
- A bachelor's degree in electrical engineering, computer engineering or a related discipline
- Two to five years of experience, plus an undergraduate GPA of at least 3.0 on a 4.0 scale
- Solid analog-design fundamentals, with coursework or project work covering circuit design
Who this fits
This role suits an early-career engineer who can bring programming and AI or machine-learning skills to analog circuit work. You'll collaborate across teams and time zones, and the role includes learning opportunities in design verification and digital design.
From the employer
About the Opportunity
Are you an engineer who thinks in circuits and code? Texas Instruments is looking for an Analog Design Engineer to join a first-of-its-kind team where classical analog IC design meets artificial intelligence. This is a rare opportunity to be part of a small, high-impact group that is actively shaping how analog products are built at one of the world's leading semiconductor companies.
What You Will Work On
As an Analog Design Engineer, you will create integrated circuit designs that help bring new TI products to life and make our customers' visions a reality. You will define, design, model, implement, and document analog integrated circuits (ICs) across a wide range of end equipment, including audio, imaging, high-speed, interface, clocking, medical, high volume linear, automotive, storage, power supply, battery management, and linear power applications.
You will work on state-of-the-art wafer processes, learning from and collaborating with industry experts in a unique interdisciplinary team with a fast-paced, startup-like environment. Your day-to-day work will include designing and drawing schematics, simulating for functionality and parametric performance, and assisting in IC layout and post-layout extracted simulations.
Beyond traditional analog design, you will apply AI/ML-enabled tools and flows to accelerate product development and create novel circuits. You will own and drive the adoption of these tools and flows across TI product teams, and you will have the creative freedom to develop novel ideas that can be patented and published. You will also gain exposure to Design Verification and Digital Design through formal learning, projects, and on-the-job experiences that will broaden your knowledge and accelerate your growth at TI.
Bring your programming and AI/ML skills to this role and make an impact across the company!
Minimum requirements:
- Bachelor's in Electrical Engineering, Computer Engineering, Electrical and Computer Engineering, or a related field
- 2 to 5 years experience
- Cumulative 3.0/4.0 GPA or higher
Preferred qualifications:
- Strong fundamentals in analog circuit design concepts with relevant coursework and design projects
- Course project or internship experience in the design, simulation, and layout of one or more analog IPs, such as band-gap reference, ADC, DAC, amplifier, oscillator, comparator, IO cells, and power-management blocks like LDO and DCDC.
- Familiarity with corners, statistical analysis, and post-layout concepts is a plus.
- Working knowledge of Cadence Virtuoso ADE, including Maestro and SPECTRE simulator
- Foundational proficiency in Python and one or more packages such as Pandas, PyTorch, TensorFlow, scikit-learn, and Matplotlib
- Foundational knowledge of machine learning concepts such as Neural Networks, Graphs, Clustering and Regression techniques, and Decision Trees
- Strong verbal and written communication skills
- Demonstrated analytical and problem-solving skills, especially in new domains
- Ability to work in teams across time zones and collaborate effectively with people in different functions
- Ability to take initiative and drive for results in a timely manner