Lead Engineer/Technical Lead (Edge AI Acceleration)

Vedya Labs; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Competitive compensation and benefits package

Opportunities for accelerated career growth

Job summary

Vedya Labs is seeking an experienced Edge AI expert in Hyderabad to join our dynamic engineering team. You will design and optimize AI/ML models for edge devices while collaborating with a skilled team. The ideal candidate will have 5 to 10 years of experience in embedded AI development and strong programming skills.

Join us to work on innovative projects and accelerate your career in a competitive environment with excellent compensation and benefits.

Qualifications

• 5+ to 10 years of hands-on experience in embedded AI/ML development.
• Experience with heterogeneous computing platforms like CPU + GPU/DSP/NPU.
• Strong communication skills in a collaborative environment.

Responsibilities

• Design, develop, and optimize AI/ML models for edge devices.
• Lead and mentor a team of engineers in daily technical tasks.
• Adapt optimized models to inference runtimes like TFLite and OpenVINO.

Skills

C/C++ programming

Python programming

Embedded AI/ML development

Model optimization techniques

Debugging tools

Embedded systems experience

Education

Bachelor’s or Master’s degree in related engineering field

Tools

TensorFlow

PyTorch

TensorRT

CMake

GDB

Job description

We are looking for an experienced and highly motivated Edge AI expert to join our dynamic engineering team. The ideal candidate will have a strong background in porting and optimizing AI/ML models for heterogeneous, multi-core ARM or RISC-V based System-on-Chips (SoCs) in embedded environments.

In this role, you will work at the intersection of machine learning, systems engineering, and hardware acceleration, contributing to the development of high-performance, reliable, and efficient Edge AI products. You’ll be involved in deploying state-of-the-art AI models on a range of compute engines — including GPUs, DSPs, and NPUs — and driving innovations in AI inference performance on edge devices.

Experience:5to10Years

Job Location:Hyderabad

Role & Responsibilities / Whatyou’lldo:

• Design,Developand OptimizeAI/ML models (e.g., CNNs, transformers) for edge devices using hardware accelerators like GPU, DSP, and NPU.

• Analyzeperformance & identifybottlenecks and tune inference pipelines for memory, power, and compute efficiency.

• Adaptand integrate optimizedmodels to inference runtimes such as TensorRT, ONNX, TFLite, SNPE, OpenVINO, or TVM.

• Implement quantization, pruning, and other model compression techniques.

• Support for integration ofAI workloads into embedded software stacks running on Linux, RTOS, or bare-metal systems.

• Develop tools and workflows for automating model deployment across different SoCs and target architectures.

• Lead and mentor a team of 3 to 6 engineers; Plan, delegate and monitor day to day technical tasks

• Support and work with project manager for project estimation and planning, take part in technical discussions with customers

• Participate in the team's software processes to ensure code quality & maintenance, including -- requirements and design documentation, test-plan generation and execution, peer design and code reviews

• Stay current with advancements in edge computing, AI inference frameworks, and compiler toolchains.

Required skills / Whom we are looking for:

• Bachelor’s or Master’sdegree in related engineering field with 5+ to 10 years of hands‑on experience in embedded AI/ML development, with a focus on model optimization and deployment.

• Proficiency in C/C++ and Python programming, intrinsic or assembly based optimization methods using instruction pipeline and latency optimal designs, modular and object-oriented programming skills

• Experience working with heterogeneous computing platforms (e.g., CPU + GPU/DSP/NPU). Must have exposure and development experience on one or more DSPs/NPUs for example ARM-NEON, TI C6x/C7x DSP, Tensilica Vision DSPs, CEVA DSPs, Qualcomm Hexagon HVX DSP

• In-depth knowledge Processor/SoC architecture – VLIW and SIMD, DMA, cache, memory architecture etc.

• Working experience in machine learning technologies such as CNN, transformers, quantization algorithms and approaches on embedded systems

• Hands‑on experience with any of the AI frameworks such as TensorFlow, PyTorch, or ONNX and familiarity with inference toolkits such as TensorRT, SNPE, TFLite, TVM, or OpenVINO.

• Familiarity with build systems (e.g., make, cmake, GCC, Eclipse, Visual Studio, ARM Development Tools)

• Familiarity with debugging tools such as GDB, JTAG, and performance profiling tools.

• Well versed with software development life cycle and efficient use of associated tools like Git, SVN, JIRA etc.

• Experience of leading small teams to achieve technical goals of assigned project

• Excellent problem‑solving skills with a focus on optimizing software for embedded hardware.

• Strong communication skills and the ability to work effectively in a collaborative, cross‑functional team environment.

• Detail‑oriented with a focus on delivering high‑quality, reliable software.

• Self‑motivated with a strong passion for embedded AI systems and technology.

Nice‑to‑haves

• Exposure to OpenCL based GPU development / CUDA based programming is a plus

• Basic knowledge of RTOS like QNX, FreeRTOS, VxWorks, or similar and Linux with exposure to debugging of embedded systems - familiarity with heterogeneous core architecture is added advantage

• Familiarity with continuous integration and automated testing practices.

Why join us:

• Opportunity to work on innovative projects with the latest Embedded & AI technologies

• Opportunities for accelerated career growth and professional development. Engineer your future, we empower our employees to truly own their career and development.

• A collaborative and inclusive team culture

• Competitive compensation and benefits package