Senior Backend Performance Engineer - Data Systems (GPU/C++)

StratITech; San Francisco (CA); On-site; USD 210,000 - 245,000; Full time

Job summary

StratITech is seeking a Senior Software Engineer to own performance-critical data pipelines and enterprise data-processing systems. You will profile, optimize, and implement high-throughput workloads across C, C++, Rust, and Python while collaborating with product and infrastructure teams.

The role emphasizes memory management, concurrency, and hardware-aware optimizations, including CUDA when beneficial. A highly technical, engineers-first culture supports independent problem ownership.

Qualifications

• Must be proficient in at least one lower-level systems language and have strong Python experience for data-processing workloads.
• Experience profiling and benchmarking production software.
• Strong understanding of memory management, concurrency, and data movement.
• Production experience with PostgreSQL.
• Ability to independently write, debug, and reason about performance-critical code.

Responsibilities

• Profile, benchmark, and eliminate bottlenecks across performance-critical data pipelines.
• Build high-performance components using C, C++, Rust, or Cython.
• Optimize Python workloads by identifying interpreter and memory overhead.
• Determine when workloads should stay in Python or move to compiled/hardware-accelerated implementations.
• Apply GPU acceleration and CUDA where measurable improvements occur.
• Engineer highly parallel systems using threading, multiprocessing, SIMD, and GPU parallelism.
• Build automated benchmarks and performance-regression tests into CI/CD pipelines.
• Process large volumes of structured and unstructured data with low latency and high throughput.
• Collaborate with infrastructure, product, and data engineers to select execution models.

Skills

C

C++

Rust

Python

Profiling

Concurrency

Memory management

PostgreSQL

CUDA

Tools

NVIDIA GPU ecosystem

Apache Arrow

Parquet

Job description

StratITech is seeking a Senior Software Engineer to own performance-critical data pipelines and enterprise data-processing systems. You will profile, optimize, and implement high-throughput workloads across C, C++, Rust, and Python while collaborating with product and infrastructure teams.

The role emphasizes memory management, concurrency, and hardware-aware optimizations, including CUDA when beneficial. A highly technical, engineers-first culture supports independent problem ownership.