MulticoreWare - GPU Programming Engineer
📌Greater Chennai Area, India 🇮🇳
⏱︎ full-time
🧙♂️ mid-level
We are seeking an experienced GPU Programming Engineer to join our team.
In this role, you will focus on developing, optimizing, and deploying GPU-accelerated solutions for high-performance machine learning workloads.
The ideal candidate has strong expertise in GPU programming across one or more platforms (e.g., NVIDIA CUDA, AMD ROCm/HIP, or OpenCL) and is comfortable working at the intersection of parallel computing, performance tuning, and ML system integration.
Key Responsibilities
- Develop, optimize, and maintain GPU-accelerated components for machine learning pipelines using frameworks such as CUDA, HIP, or OpenCL.
- Analyze and improve GPU kernel performance through profiling, benchmarking, and resource optimization.
- Optimize memory access, compute throughput, and kernel execution to improve overall system performance on the target GPUs.
- Port existing CPU-based implementations to GPU platforms while ensuring correctness and performance scalability.
- Work closely with system architects, software engineers, and domain experts to integrate GPU-accelerated Qualifications :
- Bachelor's or master's degree in computer science, Electrical Engineering, or a related field.
- 3+ years of hands-on experience in GPU programming using CUDA, HIP, OpenCL, or other GPU compute APIs.
- Strong understanding of GPU architecture, memory hierarchy, and parallel programming models.
- Proficiency in C/C++ and hands-on experience developing on Linux-based systems.
- Familiarity with profiling and tuning tools such as Nsight, rocprof, or Qualifications :
- Familiarity with cuDNN, TensorRT, OpenCL, or other GPU computing libraries.
- Exposure to AI/ML workloads, computer vision, or video/image processing.
- Experience with multi-GPU programming or heterogeneous computing environments.
-
Knowledge of OpenACC, SYCL, or other directive-based programming models is a plus.
Senior Embedded Software Engineer
@ Embedd 
What we're looking for
At embedd.it, we power hardware-software integration in embedded devices. We turn fragmented semiconductor chip data into configurable digital twins, then deterministically generate code, tests, and documentation – making integration faster, cheaper, and resilient to supply chain shocks.
We’re looking for a true legend – someone with abstract thinking and deep expertise in low-level software development. You’ll build vendor-agnostic tooling for MCU and peripheral integration to solve hardware-software integration once and for all. We work at the intersection of embedded systems, code generation, compilers, and machine learning. It’s your chance to help redefine how low-level development is done.
Responsibilities
- Drive the architecture of the driver structures and system layout
- Define scalable patterns for cross-architectural integration across bare-metal, Zephyr, Linux, and other environments
- Deconstruct complex SoC device trees and translate hardware descriptions into structured internal models for automated reasoning
- Partner with the ML team to shape data and annotation models for AI-driven data-extraction tooling
Qualifications
- 5+ years of experience in embedded systems development, including bare-metal and RTOS-based systems
- Proficiency in C/C++
- Familiarity with firmware configuration, SoC bring-up, and system-level debugging
- Hands-on experience with code generation tools, or low-level compiler/decompiler/emulator technologies
- Strong background in embedded toolchains: compilers, linkers, debuggers, and build systems
- Python or scripting for automation and tooling is a plus
- Experience with functional-safety standards is a plus
Why embedd.it?
- Dynamic, venture-backed team of engineers challenging the status quo 🚀
- Work at the intersection of embedded systems, code generators, compilers, and ML 🤖
- Unusual challenges requiring out-of-the-box abstract thinking 🧠
- Competitive compensation: cash + equity 💰
- Remote work possible 🌍
About Us
embedd.it is a UK-based startup reinventing embedded development. Our platform transforms unstructured semiconductor data into structured digital twins, enabling automatic generation of drivers, tests, and documentation. We're building a single, traceable source of truth to make integration fast, vendor-agnostic, and future-proof.
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Employment
⏱︎ full-time
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Experience
🧙♂️ mid-level
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Skills
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Industry
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