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# Senior Software Engineer - Backend Performance -MarTech/AdTech

- **Company:** Three Pillars
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, C++ (Programming Language), Profiling, Nvidia CUDA, Memory Management, Python (Programming Language), PostgreSQL, Unstructured Data, Parquet, Concurrency, Backend, Low Latency, Vectorization
- **Published:** October 18, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-backend-performance-martech-adtech-san-francisco-ca--1063bb47-6eb6-4ab6-852f-f15722ac48b7

## About the Role

Core engineering

 * Strong systems engineering background with deep proficiency in at least one of C, C++, or Rust. Cython and CUDA are a strong plus.
 * Fluent in Python for data processing, with a real feel for where the interpreter costs you and how to escape it.
 * Performance engineering: profiling, memory management, concurrency, cache behavior, and reasoning quantitatively about throughput and latency.

Systems & data

 * Parallel, high-throughput processing - SIMD / vectorization, multiprocessing, or GPU parallelism.
 * Experience moving and transforming large volumes of structured and unstructured data with low latency.
 * PostgreSQL and strong data-structures and algorithms fundamentals.

Nice to have

 * CUDA / kernel-level optimization or hardware-aware performance work; NVIDIA ecosystem depth.
 * Lakehouse internals, columnar formats (Arrow / Parquet), or numeric/array computing.

## Description

PLEASE CLICK HERE TO SEE *ALL* OF OUR JOB OPENINGS!Senior Software Engineer - Backend PerformanceAs a Senior Software Engineer on Backend Performance, you own the hottest paths in data products - the code that has to be fast because everything downstream depends on it. You profile before you guess, drop into C/C++, Cython, or Rust when Python runs out of room, and reach for the GPU when it earns its keep. This is engineers-first, systems-heavy work: high-throughput pipeline execution and Reactor self-correction over large volumes of structured and unstructured data, made fast.What You'll Do:Profile, benchmark, and eliminate bottlenecks across the pipeline's performance-critical paths.Write performance-critical code in C/C++, Cython, and/or Rust for the hot paths where interpreted Python won't hold.Apply GPU acceleration (CUDA) to pipeline execution and Reactor self-correction where it delivers real speedups - and know when it doesn't.Engineer for parallelism and concurrency: threading, vectorization, memory layout, and data-movement costs.Build performance-regression detection into CI so hard-won gains don't quietly erode.Partner with the Data Products and infrastructure teams to move the right work to the right primitive.What Will Help You Succeed:Core engineeringStrong systems engineering background with deep proficiency in at least one of C, C++, or Rust. Cython and CUDA are a strong plus.Fluent in Python for data processing, with a real feel for where the interpreter costs you and how to escape it.Performance engineering: profiling, memory management, concurrency, cache behavior, and reasoning quantitatively about throughput and latency.Systems & dataParallel, high-throughput processing - SIMD / vectorization, multiprocessing, or GPU parallelism.Experience moving and transforming large volumes of structured and unstructured data with low latency.PostgreSQL and strong data-structures and algorithms fundamentals.Nice to haveCUDA / kernel-level optimization or hardware-aware performance work; NVIDIA ecosystem depth.Lakehouse internals, columnar formats (Arrow / Parquet), or numeric/array computing.The role is right for you if:You reach for a profiler before another machine, and you can explain exactly where your time is going.You write the systems code yourself. AI assistants speed you up; they don't do the engineering for you. Job-3645252*LI-AL1#LI-Onsite
PLEASE CLICK HERE TO SEE *ALL* OF OUR JOB OPENINGS!Senior Software Engineer - Backend PerformanceAs a Senior Software Engineer on Backend Performance, you own the hottest paths in data products - the code that has to be fast because everything downstream depends on it. You profile before you guess, drop into C/C++, Cython, or Rust when Python runs out of room, and reach for the GPU when it earns its keep. This is engineers-first, systems-heavy work: high-throughput pipeline execution and Reactor self-correction over large volumes of structured and unstructured data, made fast.What You'll Do:Profile, benchmark, and eliminate bottlenecks across the pipeline's performance-critical paths.Write performance-critical code in C/C++, Cython, and/or Rust for the hot paths where interpreted Python won't hold.Apply GPU acceleration (CUDA) to pipeline execution and Reactor self-correction where it delivers real speedups - and know when it doesn't.Engineer for parallelism and concurrency: threading, vectorization, memory layout, and data-movement costs.Build performance-regression detection into CI so hard-won gains don't quietly erode.Partner with the Data Products and infrastructure teams to move the right work to the right primitive.What Will Help You Succeed:Core engineeringStrong systems engineering background with deep proficiency in at least one of C, C++, or Rust. Cython and CUDA are a strong plus.Fluent in Python for data processing, with a real feel for where the interpreter costs you and how to escape it.Performance engineering: profiling, memory management, concurrency, cache behavior, and reasoning quantitatively about throughput and latency.Systems & dataParallel, high-throughput processing - SIMD / vectorization, multiprocessing, or GPU parallelism.Experience moving and transforming large volumes of structured and unstructured data with low latency.PostgreSQL and strong data-structures and algorithms fundamentals.Nice to haveCUDA / kernel-level optimization or hardware-aware performance work; NVIDIA ecosystem depth.Lakehouse internals, columnar formats (Arrow / Parquet), or numeric/array computing.The role is right for you if:You reach for a profiler before another machine, and you can explain exactly where your time is going.You write the systems code yourself. AI assistants speed you up; they don't do the engineering for you. Job-3645252*LI-AL1#LI-Onsite