Senior Research Software Development Engineer

Microsoft

Quick summary

Work type
On-site
Location
US
Salary
$119,800–$234,700 / yr
Posted
67 days ago
Nearby
95 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 57% of similar roles. Most pay $157,579–$217,725 — the shaded band above. At the midpoint, this role pays about $177k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 668 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 615 roles with salary data.

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At a glance

TL;DR · Senior Research Software Development Engineer

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As a Senior Research Software Development Engineer in the Guidance team at Core AI, you will focus on advancing language model engine-level capabilities through applied research and production engineering. Your day-to-day responsibilities include integrating in-house innovations with state-of-the-art techniques to enhance model accuracy, speed, reliability, and expressivity across both first-party Microsoft engines and third-party industry solutions. You will design and implement performance-critical code primarily in Python and Rust, ensuring high standards for correctness and maintainability while coaching peers through rigorous code reviews. Additionally, you will develop advanced inference techniques such as speculative decoding and constrained decoding, contributing to open-source LM infrastructure where appropriate. The role requires strong proficiency in Python and systems programming languages like Rust or C++, along with experience in language model infrastructure and hands-on familiarity with advanced inference methods.

Skills

Python Rust C++ Kubernetes Docker CI/CD Prometheus Grafana GitHub VSCode PostgreSQL OpenSource LLMInfrastructure SpeculativeDecoding ConstrainedDecoding

What you'll do

  • Advance language model engine capabilities through applied research and production engineering.
  • Design, implement, and review performance-critical engine code in Python and Rust.
  • Develop and evolve advanced inference techniques like speculative decoding and structured generation.
  • Own engine-level design and integration decisions across multiple architectural options.
  • Drive engineering excellence in production environments with comprehensive testing strategies.
  • Contribute to and leverage open-source LM infrastructure responsibly.

What we're looking for

  • Bachelor's Degree in Computer Science or equivalent technical experience of 4+ years.
  • Strong proficiency in Python and at least one systems programming language like Rust or C++.
  • Experience writing and maintaining performance-critical code.
  • Professional software engineering experience with ownership of complex, production-quality systems.
  • Open-source contributions or industry experience in language model infrastructure.
  • Hands-on familiarity with advanced inference techniques such as speculative decoding.

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