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Tech Lead

MulticoreWare

Tech Lead

Skills

Machine Learning

5 months ago

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Important information


Contract type:

Permanent

Location:

Tamil Nadu, India

Work mode:

Onsite

Published on:

2 September 2026

What they need


Job Information

  • Department Name Platforms & Compilers
  • Date Opened 03/06/2026
  • Job Type Full time
  • Minimum Experience In Years 5
  • Industry Software Development
  • Maximum Experience In Years 9
  • City Chennai
  • Province tamil nadu
  • Country India
  • Postal Code 600089

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

We are seeking a highly skilled and motivated technical lead to drive the implementation and optimization of machine learning, computer vision, and numeric libraries across target hardware architectures, including CPUs, GPUs, DSPs, NPUs, and other accelerators. The role involves technical ownership and accountability for project execution and delivery, driving high performance software solutions, providing technical leadership to engineering teams, and working closely with customers to successfully deliver optimized libraries.

Key Responsibilities

  • Lead the implementation, optimization, and delivery of machine learning, computer vision, and numeric libraries for heterogeneous hardware architectures, including CPUs, GPUs, DSPs, NPUs, and accelerators.
  • Own project execution with accountability for technical delivery, quality, timelines, and successful customer outcomes.
  • Provide technical leadership, guidance, and mentorship to engineers in areas such as low-level optimization, parallel programming, vectorization, memory hierarchy optimization, profiling, performance analysis, debugging, benchmarking, and performance tuning to enable successful execution and delivery of projects.
  • Work directly with customers and internal stakeholders to understand performance requirements, optimization goals, bottlenecks, and expected outcomes

. • Conduct technical reviews, problem-solving, and technical decision-making to support successful execution of projects.

  • Stay current with advancements in machine learning, computer vision, high performance computing, and heterogeneous compute architectures.

Requirements

Qualifications

  • BTech/BE/MTech/ME/MS/PhD in CSE/IT/ECE or related field.
  • 5+ years of experience in software development, performance engineering, algorithm optimization, porting, or low-level software development.
  • Proven experience in leading technical execution of projects, mentoring engineers, and driving successful project delivery.
  • Strong interest and passion for technical leadership, team guidance, customer engagement, and ownership of project execution and delivery.
  • Strong expertise in C/C++, CUDA, OpenCL, HIP, SYCL, or similar programming models.
  • Hands-on experience optimizing software for CPUs, GPUs, DSPs, NPUs, or other accelerator architectures.
  • Strong understanding of parallel computing concepts, SIMD/vectorization, threading models, cache/memory optimization, profiling, benchmarking, and performance tuning.
  • Strong debugging, analytical, problem-solving, and technical decision-making skills.
  • Excellent communication, collaboration, and stakeholder management skills.

Who This Role Would Suit

This role would suit strong technical professionals with hands-on expertise in performance optimization, low-level software development, or heterogeneous computing who are looking to grow into a larger technical leadership role. We are looking for individuals who are passionate about taking ownership of project execution and delivery, mentoring and guiding teams, enabling successful outcomes through technical leadership, and contributing to the growth and success of the organization.

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