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.
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.
