Algorithms & optimization Engineer

MulticoreWare, Inc.; Chennai; On-site; INR 400,000 - 750,000; Full time

Job summary

MulticoreWare, Inc. is seeking a talented engineer to implement and optimize machine learning, computer vision, and numeric libraries for target hardware architectures including CPUs, GPUs, DSPs, and accelerators.

You will work closely with software and hardware engineers to ensure high-performance execution and scalable solutions. The role requires hands-on expertise in C/C++, CUDA/OpenCL, and performance profiling, with 4+ years in algorithm development and optimization.

Qualifications

• BTech/BE/MTech/ME/MS in CSE/IT/ECE.
• Proficient in C/C++, CUDA, OpenCL or similar for hardware optimization.
• Experience with CPUs, GPUs, DSPs or accelerators and their programming models.

Responsibilities

• Implement and optimize ML, computer vision, and numeric libraries for target hardware architectures.
• Collaborate with software and hardware engineers to ensure optimal performance.
• Perform algorithmic modifications, parallelization, vectorization, and memory access optimizations.

Skills

C/C++

CUDA

OpenCL

Hardware optimization

Education

B.Tech/BE/ME/MTech/MS

Tools

Profiling tools

Job description

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

We are lookingfor a talented engineer to implement and optimize machine learning, computervision, and numeric libraries for target hardware architectures, includingCPUs, GPUs, DSPs, and other accelerators. Your expertise will be instrumentalin enabling efficient and high-performance execution of algorithms on thesehardware platforms.

Responsibilities

• Implement and optimize machine learning, computervision, and numeric libraries for target hardware architectures, includingCPUs, GPUs, DSPs, and other accelerators.
• Work closely with software and hardware engineersto ensure optimal performance on target platforms.
• Implement low-level optimizations, includingalgorithmic modifications, parallelization, vectorization, and memory accessoptimizations, to fully leverage the capabilities of the target hardwarearchitectures.
• Work with customers to understand theirrequirements and implement libraries to meet their needs.
• Develop performance benchmarks and conductperformance analysis to ensure the optimized libraries meet the requiredperformance targets.
• Stay current with the latest advancements inmachine learning, computer vision, and high-performance computing.

Requirements

Education

BTech/BE/MTech/ME/MS/PhDin CSE/IT/ECE.

Technical Skills (Must haves)

• Proficient in programming languages such asC/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 theirprogramming models and optimization techniques.
• Knowledge of parallel computing, SIMDinstructions, memory hierarchies, and cache optimization techniques.
• Experience with performance analysis tools andmethodologies for profiling and optimization.

Need to have (Can be bridged)

• More than 4 years of experience in AlgorithmDevelopment, Porting, Optimization & Testing.
• Strong problem-solving skills and ability to workindependently or within a team.

Good to have (Not essential)

Knowledgeofdeep learning frameworks and techniques.

Preferred Qualifications (Optional)

Hands-onexperience optimizing algorithms and libraries for heterogeneous hardwareplatforms and high-performance computing environments.