Job Location: Hyderabad
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: 5 to 10 Years
Job Location: Hyderabad
Role & Responsibilities / What you’ll do:
- Design, Develop and Optimize AI/ML models (e.g., CNNs, transformers) for edge devices using hardware accelerators like GPU, DSP, and NPU.
- Analyze performance & identify bottlenecks and tune inference pipelines for memory, power, and compute efficiency.
- Adapt and integrate optimized models to inference runtimes such as TensorRT, ONNX, TFLite, SNPE, OpenVINO, or TVM.
- Implement quantization, pruning, and other model compression techniques.
- Support for integration of AI 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’s degree in related engineering field with 5+ to 10 years of hands-on experience in experience in embedded AI/ML development, with a focus on model optimization and deployment.
- Proficiency in 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 verse 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