Technical Lead - Software

Who We Are

Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible® a Better Future.

What We Offer

Location:

Bangalore,IND, Chennai,IND

At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

You’ll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied.

Technical Lead - Software

About Applied

Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future.

Our Team

Our team is developing a high-performance computing solution for low-latency and high throughput image processing and deep-learning workloads that will enable our Chip Manufacturing process control equipment to offer differentiated value to our customers.

Your Opportunity

As a technical lead, you will get the opportunity to grow in the field of high-performance computing, complex system design and low-level optimizations for better cost of ownership.

Roles and Responsibility

• As a technical lead, you will be responsible for designing and implementing High performance computing software solutions for our organization.
• You will work closely with cross-functional teams, including software engineers, product managers, and business stakeholders, to understand requirements and translate them into architectural/software designs that meet business needs.
• You will be a subject Matter expert to unblock software engineers in the HPC domain.
• You will be expected to profile systems to understand bottlenecks, optimize workflows and code and processes to improve cost of ownership.
• Identify and mitigate technical risks and issues throughout the software development lifecycle.
• Lead the design and implementation of complex software components and systems.
• Ensure that software systems are scalable, reliable, and maintainable.
• Mentor and coach junior software engineers.
• Your primary focus will be on implementing features of high quality with maintainable and extendable code following software development best practices
  
  

Our Ideal Candidate

Someone who has the drive and passion to learn quickly, has the ability to multi-task and switch contexts based on business needs.

Qualifications

• 5 to 10 years of experience in Design and coding in C/C++ preferably in Linux Environment.
• Very good knowledge of Data structures, Algorithms and Complexity analysis.
• In depth experience in Multi-threading, Thread Synchronization, Inter process communication, and Distributed computing fundamentals.
• Very Good knowledge of Operating systems internals (Linux Preferred), Networking and Storage systems.
• Experience in performance profiling at application and system level (e.g. vtune, Oprofiler, perf, Nividia Nsight etc.)
• Experience in low level code optimization techniques using Vectorization and Intrinsics, cache-aware programming, lock free data structures etc.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to mentor and coach junior team members.
• Experience in Agile development methodologies.
  
  

Additional Qualifications

• Experience in GPU programming using CUDA, OpenMP, OpenACC, OpenCL etc.
• Good Knowledge of Work-flow orchestration Software like Apache Airflow, Apache Spark, Apache storm or Intel TBB flowgraph etc.
• Experience in developing Distributed High Performance Computing software using Parallel programming frameworks like MPI, UCX etc.
• Experience in HPC Job-Scheduling and Cluster Management Software (SLURM, Torque, LSF etc.)
• Good knowledge of Low-latency and high-throughput data transfer technologies (RDMA, RoCE, InfiniBand)
• Familiarity with microservices architecture and containerization technologies (docker/singularity) and low latency Message queues.
• Experience in Java and Python programming
  
  

Education

Bachelor's Degree or higher in Computer science or related Disciplines.

Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities.

Additional Information

Time Type:

Full time

Employee Type

Assignee / Regular

Travel

Yes, 10% of the Time

Relocation Eligible:

Yes

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.