Software Development Engineer II (SDE II)

This role is for one of the Weekday's clients

JobType: full-time

You will collaborate closely with cross-functional teams including researchers, architects, and product engineers to build scalable, efficient, and robust software solutions.

This role provides an opportunity to contribute to cutting-edge innovations and influence system architecture at scale.

Requirements

Key Responsibilities:

• Design, develop, and maintain high-performance software systems with a focus on scalability and efficiency
• Optimize code performance through advanced compiler techniques, profiling, and benchmarking
• Build and enhance parallel and distributed systems using concurrency models such as MPI, multithreading, locks, and lock-free programming
• Collaborate with research teams to translate complex algorithms into production-grade implementations
• Identify performance bottlenecks and implement solutions to improve throughput and latency
• Contribute to system architecture decisions and drive best practices in performance engineering
• Write clean, maintainable, and well-documented code following engineering standards
• Participate in code reviews, technical discussions, and continuous improvement initiatives

Required Skills & Qualifications:

• 3–9 years of professional experience in software development, preferably in R&D or performance-critical domains
• Strong experience in High-Performance Computing (HPC) and system-level optimization
• Deep understanding of compiler optimization techniques and low-level performance tuning
• Solid knowledge of concurrency programming, including MPI, threading, synchronization mechanisms, locks, and lock-free data structures
• Proficiency in programming languages such as C++, Rust, or similar system-level languages
• Experience with profiling tools, debugging, and performance analysis
• Strong problem-solving skills and ability to work on complex technical challenges

Preferred Qualifications:

• Familiarity with Linear Algebra, Probability, and Statistics, especially in the context of computational or scientific applications
• Experience working with distributed systems or large-scale data processing frameworks
• Exposure to hardware-level optimizations, vectorization, or GPU programming is a plus
• Background in research-driven environments or collaboration with academic/advanced engineering teams