Senior ASIC Design Engineer, Neural Processor

Syntiant Corp.; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

A leading AI solutions company based in Bengaluru is seeking a Senior ASIC Design Engineer to enhance its hardware engineering team. The role focuses on architecting and implementing next-generation Neural Digital Processors for edge AI applications, collaborating with machine learning teams. Applicants should have a Master's degree in electrical engineering and a strong background in low-power signal processing and ML network architecture. Competitive compensation based on experience and skills is offered.

Qualifications

• Minimum Master’s degree in electrical engineering with 5+ years of industry experience.
• A proven track record of developing low-power signal-processing IPs from architecture to implementation.
• Good knowledge of ML network architecture including Dense, CNN, RNN, Transformer, etc.
• Experience with NPUs and ML frameworks is a plus.

Responsibilities

• Architect and implement next-generation Neural Digital Processor for low-power edge AI applications.
• Work with the Machine Learning team to optimize neural network models.
• Create power and performance profiling tools for the NDP engine.
• Lead PPA (Power/Performance/Area) trade-off analysis to improve design.
• Conduct pre- and post-silicon design validation and performance testing.

Skills

Low-power signal processing

Architecture/design of NPUs

ML network architecture knowledge

RTL implementation

Programming skills (Python, C/C++, Perl)

Experience with ML frameworks

Digital verification/test benches

Team collaboration

Education

Master's degree in electrical engineering

PhD in relevant field

Tools

Verilog

SystemVerilog

Test benches

Digital verification

Python

Job description

Syntiant Corp., a leader in the high‑growth AI software and semiconductor solutions space, is seeking an experienced Senior ASIC Design Engineer to strengthen our Hardware Engineering function.

Key Responsibilities

• Architect and implement Syntiant’s next‑generation Neural Digital Processor (NDP) for low‑power edge AI applications.
• Work closely with the Machine Learning team to analyze, map and co‑optimise state‑of‑the‑art neural network models for Syntiant’s current and next‑generation NDP engine.
• Create power and performance profiling tools for the NDP engine.
• Lead PPA (Power/Performance/Area) trade‑off analysis to improve design.
• Conduct pre‑ and post‑silicon design validation and performance testing.

Qualifications, Education and Experience

• Minimum Master’s degree in electrical engineering with 5+ years of industry experience; PhD preferred with 3+ years of experience.
• A proven track record of 5+ years in developing low‑power signal‑processing IPs from architecture to implementation.
• Open to candidates with varied backgrounds, including a PhD with 0‑1 year of experience or a Master’s with 3 years of experience; role level will align with education and experience.
• Good knowledge and experience in architecture/design of NPUs.
• Good knowledge of ML network architecture (Dense, CNN, RNN, Transformer, etc.).
• RTL implementation of digital signal‑processing algorithms using Verilog or SystemVerilog.
• Implementation of test benches and digital verification methods.
• Experience in PPA (Power/Performance/Area) optimisations.
• Programming/scripting skills (e.g., Python, C/C++, or Perl).
• Task‑centered, self‑driven, persistent, and team oriented.
• Experience with ML frameworks (TensorFlow, PyTorch, etc.) is a plus.

About Syntiant

Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. delivers hardware and software solutions for edge AI deployment. Our purpose‑built silicon and hardware‑agnostic models power edge AI speech, audio, sensor and vision applications globally—from earbuds to automobiles—merging deep learning with semiconductor design to produce ultra‑low‑power, high‑performance deep neural network processors.

Compensation is competitive and based on experience, skills, and location. Base pay forms a component of our total compensation package and will be tailored to the individual’s background and role level.