Technical Lead - Software

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.

Qualifications

Education:

Bachelor's Degree

Skills

Certifications:

Languages:

Years of Experience:

7 - 10 Years

Work Experience:

Additional Information

Shift:

Day (India)

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

Referral Payment Plan:

Employee Referral (Standard)

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All 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.