Overview
Job Information
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About Us
MulticoreWare is a global software solutions & products company with its HQ in San Jose, CA, USA. With worldwide offices, it serves its clients and partners in North America, EMEA and APAC regions. Started by a group of researchers, MulticoreWare has grown to serve its clients and partners on HPC & Cloud computing, GPUs, Multicore & Multithread CPUS, DSPs, FPGAs and a variety of AI hardware accelerators.
MulticoreWare was founded by a team of researchers that wanted a better way to program for heterogeneous architectures. With the advent of GPUs and the increasing prevalence of multi-core, multi-architecture platforms, our clients were struggling with the difficulties of using these platforms efficiently.
We started as a boot-strapped services company and have since expanded our portfolio to span products and services related to compilers, machine learning, video codecs, image processing and augmented/virtual reality. Our hardware expertise has also expanded with our team; we now employ experts on HPC and Cloud Computing, GPUs, DSPs, FPGAs, and mobile and embedded platforms. We specialize in accelerating software and algorithms, so if your code targets a multi-core, heterogeneous platform, we can help.
Job Description
- Implement and optimize machine learning, computer vision, and numeric libraries for target hardware architectures, including CPUs, GPUs, DSPs, and other accelerators.
- Work closely with software and hardware engineers to ensure optimal performance on target platforms.
- Implement low-level optimizations, including algorithmic modifications, parallelization, vectorization, and memory access optimizations, to fully leverage the capabilities of the target hardware architectures.
- Work with customers to understand their requirements and implement libraries to meet their needs.
- Develop performance benchmarks and conduct performance analysis to ensure the optimized libraries meet the required performance targets.
- Stay current with the latest advancements in machine learning, computer vision, and high-performance computing.
Qualifications:
- BTech/BE/MTech/ME/MS/PhD degree in CSE/IT/ECE
- > 2 years of experience working in Algorithm Development, Porting, Optimization & Testing
- Proficient in programming languages such as C/C++, CUDA, OpenCL, or other relevant languages for hardware optimization.
- Hands-on experience with hardware architectures, including CPUs, GPUs, DSPs, and accelerators, and familiarity with their programming models and optimization techniques.
- Knowledge of parallel computing, SIMD instructions, memory hierarchies, and cache optimization techniques.
- Experience with performance analysis tools and methodologies for profiling and optimization.
- Knowledge of deep learning frameworks and techniques is good to have
- Strong problem-solving skills and ability to work independently or within a team.
- 1 - 20 Yrs
- Jharkhand, Andhra Pradesh, Odisha
- 1 - 20 Yrs
- Karnataka, India
- 50,00,000 - 55,00,000 INR - Annual
- 6 - 8 Yrs
- Bangalore
- 55,00,000 - 60,00,000 INR - Annual
- 8 - 12 Yrs
- Bangalore
- 6 - 10 Yrs
- Ahmedabad
- 5 - 10 Yrs
- Ahmedabad
- Chennai, Tamil Nadu, India
- Chennai, Tamil Nadu, India