Data Engineer using Python to create data solutions that drive business growth. Develops pipelines and collaborates with cross - functional teams for insights.
About the role
- Software Architect designing high-performance computing software for semiconductor equipment. Work with cross-functional teams and mentor junior software architects and engineers for complex systems.
Responsibilities
- Responsible for designing and implementing High performance computing software solutions for the organization
- 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
- Coding and developing quick prototypes to establish designs with real code and data
- Subject Matter expert to unblock software engineers in the HPC domain
- Profile systems to understand bottlenecks, optimize workflows and code and processes to improve cost of ownership
- Conduct technical reviews and provide guidance to software engineers during the development process
- Identify and mitigate technical risks and issues throughout the software development lifecycle
- Evaluate and recommend appropriate technologies and frameworks to meet project requirements
- 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 architects and engineers
Requirements
- 7 to 15 years of experience in Design and coding in C/C++ preferably in Linux Environment
- Very good knowledge Data structure and Algorithms and complexity analysis
- Experience in developing Distributed High Performance Computing software using Parallel programming frameworks like MPI, UCX etc.
- In depth experience in Multi-threading, Thread Synchronization, Inter process communication, and distributed computing fundamentals
- Very Good knowledge of Computer science fundamentals like, 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.
- Experience in GPU programming using CUDA, OpenMP, OpenACC, OpenCL etc.
- Familiarity with microservices architecture and containerization technologies (docker/singularity) and low latency Message queues
- Excellent problem-solving and analytical skills
- Strong communication and collaboration abilities
- Ability to mentor and coach junior team members
- Experience in Agile development methodologies.
Benefits
- Supportive work culture
- Programs and support for personal and professional growth
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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