MulticoreWare

Job Description:

MulticoreWare Inc develops heterogeneous software for Media and Automotive markets. It develops and licenses world-class video codec libraries, such as the widely used x265 (open-source HEVC encoding library) and supports tier-1 global streaming video services and video encoding solution providers.

As a Senior SW Engineer/Technical Lead, you will join MulticoreWare’s growing team of world-class engineers, and architects in its offices at Chennai, India, to implement, and deliver solutions in video pipelines and products. You will work in a result-oriented team with a culture of transparency and minimal bureaucracy. MulticoreWare provides a collaborative work environment with opportunities to learn, grow and progress in your career path.

Key Responsibilities:

• Implement, test, and deliver production-quality software, architected for problems in video pipelines of internal and customer IPs
• Lead the execution and implementation of product features with a small team of engineers and mentor the junior engineers within the team
• Conduct meticulous code-reviews to ensure bug-free and high-quality deliverables.
• Contribute towards product release cycles by developing tests deployed in continuous integration frameworks, fixing bugs identified during release, etc.
• Interface with customers, support customer evaluations of products and debugging of customer issues

Qualifications:

• Bachelor’s degree in Computer Science, Computer Engineering, or Electrical Engineering with 5 + years’ experience, or a Master’s degree in similar areas with 3+ years’ experience
• Excellent C/C++ development and debugging experience in creating production-grade software on Windows and Unix-based platforms
• Hands-on experience in video coding with an in-depth knowledge of HEVC, AVC, VP9, AV1 and VVC 
• Strong interest in video/imaging technologies, including video/image compression, analytics, and streaming/delivery
• Demonstrated analytical, problem solving and troubleshooting skills, with a meticulous attention to detail
• Working knowledge of code management systems such as Git and Bitbucket
• Good verbal and written communication skills

Preferred Qualifications:

• Experience with continuous integration frameworks like Jenkins
• Experience with heterogeneous programming libraries such as OpenCL, CUDA
• Experience with platform-specific software optimizations like SIMD to enable higher performance software
• Understanding of Agile / Scrum methodologies
• Experience in interacting with geographically distributed teams for reviews and meetings

**YOE:** 2 - 6 years | 6+ years

**NP**: Immediate to 45 days

**Opening(s):** 3

We are looking for strong C/C++ developers with a passion for performance optimization and systems programming. While prior experience with CUDA, OpenCL etc., or hardware accelerators is a plus, we welcome candidates who are eager to learn and scale up in machine learning, computer vision, and numeric library optimization for CPUs, GPUs, DSPs, and accelerators. You can submit your profile here or share at adithya.krishnan@multicorewareinc . com with the subject line: "Applying for C/C++ developer"

**You will:**

* Develop and optimize high-performance software using C/C++ for numerical computing, machine learning, and computer vision applications.

* Learn and apply low-level optimizations, including parallelization, vectorization, and memory management, to enhance execution on hardware platforms.

* Gain hands-on experience with CUDA, OpenCL, or similar programming models as part of the role.

**You must have:**

* 2+ years of experience in C/C++ development, with a strong grasp of data structures, algorithms, and performance optimization.

* Willingness to learn and grow in GPU programming, parallel computing, and hardware acceleration.

**Skills we love:**

* Knowledge of parallel computing concepts, SIMD instructions, and memory hierarchies is a plus.

* Prior experience with CUDA, OpenCL, or similar is advantageous but not mandatory.

* Strong problem-solving skills and the ability to work independently or in a team.

Note: If you're a strong C/C++ developer interested in scaling up in high-performance computing and hardware acceleration, we'd love to hear from you!

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**Elaborate and Exact JD of the role is below:**

We are seeking a talented engineer to implement and optimize machine learning, computer vision, and numeric libraries for target hardware architecture, including CPUs, GPUs, DSPs, and other accelerators. Your expertise will be instrumental in enabling efficient and high-performance execution of algorithms on these hardware platforms.

**Key Responsibilities:**

* 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.

**We Build Responsible AI Solutions. We are:**

* A Software/Product Development Organization delivering next-generation technologies.

* Great Place to Work (GPTW) Certified, fostering a culture of trust and collaboration.

* Recognized as ET's Future Ready Organization, driving innovation responsibly.

**Why join us?**

* **Shape the Future of AI**: At MulticoreWare Inc., you’ll work on cutting-edge technologies like computer vision, natural language processing, and generative AI, redefining industries and advancing humanity's digital future.

* **Be Part of a Visionary Team:** Collaborate with some of the brightest minds in AI and software engineering, solving complex challenges and driving innovation in high-performance computing and AI-powered solutions.

* **Accelerate Your Growth**: Experience unparalleled career development with exposure to groundbreaking projects, advanced tools, and a culture that values continuous learning and professional excellence.

* **Make an Impact Globally**: Work on products and solutions that influence industries like automotive, media, and healthcare, delivering responsible AI-driven innovation worldwide.

* **Innovate with Purpose:** Join a team where your passion for technology meets a mission-driven approach, creating solutions that blend innovation, efficiency, and sustainability.

Senior Engineer  – Artificial Intelligence / Computer Vision
(Business Unit – Autonomous Vehicles & Automotive - AVA)

We are seeking an exceptional, experienced senior engineer with deep expertise in Computer Vision, Neural Networks, 3D Scene Understanding and Sensor Data Processing. The expectation is to lead a growing team of engineers to help them build and deliver customized solutions for our clients. A solid engineering as well as team management background is a must.

About MulticoreWare Inc
MulticoreWare Inc is a software and solutions development company with top-notch talent and skill in a variety of micro-architectures, including multi-thread, multi-core, and heterogeneous hardware platforms. It works in sectors including High Performance Computing (HPC), Media & AI Analytics, Video Solutions, Autonomous Vehicle and Automotive software, all of which are rapidly expanding. The Autonomous Vehicles & Automotive business unit specializes in delivering optimized solutions for sophisticated sensor fusion intelligence and the design of algorithms & implementation of software to be deployed on a variety of automotive grade hardware platforms.

Role Responsibilities
● Lead a team to solve the problems in a perception / autonomous-systems scope and turn ideas into code & products
● Drive all technical elements of development, such as project requirements definition, design, implementation, unit testing, integration, and software delivery
● Implementing cutting edge AI solutions on embedded platforms and optimizing them for performance. Hardware architecture aware algorithm design and development
● Contribute to the vision and long-term strategy of the business unit

Required Qualifications (Must Have)
● 3 - 7 years of experience with real world system building, including design, coding (C++/Python) and evaluation/testing (C++/Python)
● Solid experience in 2D / 3D Computer Vision algorithms, Machine Learning and Deep Learning fundamentals – Theory & Practice. Hands-on experience with Deep Learning frameworks like Caffe, TensorFlow or PyTorch
● Expert level knowledge in any of the courses related Signal Data Processing / Autonomous or Robotics software development (Perception, Localization, Prediction, Planning), multi-object tracking, sensor fusion algorithms and familiarity on Kalman filters, particle filters, clustering methods etc.
● Good project management and execution capabilities, as well as good communication and coordination ability
● Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related fields

Preferred Qualifications (Nice-to-Have)
● GPU architecture and CUDA programming experience, as well as knowledge of AI inference optimization using Quantization, Compression (or) Model Pruning
● Track record of research excellence with prior publication on top-tier conferences and journals