This role pays more than
54%
of similar roles. Most pay
$157,525–$216,968
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$187k
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
644 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 624 roles with salary data.
Senior Accelerator SW Tools Development Engineer
The Platform Systems Engineering team is seeking a Senior Accelerator SW Tools Development Engineer to lead the development of next-generation stress, validation, and performance tooling for MAIA AI accelerator platforms. You will build software frameworks, stress workloads, and validation tools that exercise every layer of the AI stack, including hardware execution engines, memory subsystems, compiler-generated kernels, and distributed communication fabrics. Your daily work involves developing scalable infrastructure for workload deployment, telemetry collection, and result analysis while optimizing kernels for custom accelerators. You will utilize PyTorch, Triton, Python, C++, and custom MAIA SDKs to create synthetic and production-inspired workloads. The role focuses on the technical challenge of platform bring-up, qualification, and performance characterization for AI training and inference systems, ensuring hardware-software stack efficiency through automated validation and robust telemetry analysis across compute, networking, and storage subsystems.
Develop scalable stress, performance, and validation frameworks for MAIA AI accelerator platforms.
Build workload generation infrastructure to exercise compute, memory, interconnects, networking, and storage resources.
Create synthetic and production-inspired workloads that model large-scale training and inference behaviors.
Optimize kernels and identify bottlenecks across the hardware-software stack to improve utilization.
Develop tooling integrated with MAIA compiler pipelines, SDKs, and runtime environments.
Design workload suites for platform bring-up, qualification, and reliability testing.
Characterize system performance and develop benchmarking methodologies for LLM training and inference workloads.
Automate infrastructure for deployment, telemetry collection, and result analysis to improve developer productivity.
What we're looking for
A relevant degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field is required.
At least 1 year of experience with a Doctorate, 4 years with a Master's, or 5 years with a Bachelor's in a related field.
4+ years of experience with C/C++ and Python to develop production-quality software systems, frameworks, runtimes, or infrastructure.
4+ years of experience developing, debugging, or optimizing AI workloads for GPUs, AI accelerators, or HPC systems using PyTorch or similar frameworks.
4+ years of experience with accelerator architecture and performance optimization across hardware/software boundaries.
Ability to pass the Microsoft Cloud Background Check.
Experience with custom AI accelerator SDKs, compiler ecosystems (LLVM, MLIR), or code-generation pipelines (preferred).
Experience with large-scale AI models, collective communication libraries, high-performance networking, or silicon bring-up (preferred).
PCBA
High-speed Digital Design
Power Integrity
SERDES
Schematic Capture
PCB Layout
Mentor Graphics
Cadence
Oscilloscopes
Logic Analyzers
Multi-meters
Automated Test Systems
Test Fixtures
Power Supply Design
Instrument Control
PCBA
High-Speed Digital Design
SERDES
Power Integrity
Schematic Capture
PCB Layout
Xpedition
Cadence
Oscilloscopes
Logic Analyzers
Multi-meters
Power Supply Design
Instrument Control
Test Fixtures
DFM