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Performance Engineer

Aziro Technologies LLC

Remote • 3d ago

Easy Apply

Contract

Depends on Experience

Performance Engineer

Aziro Technologies LLC

Remote • 3d ago

Easy Apply

Contract

$60 - $70

Performance Engineer

Aziro Technologies LLC

Remote • 3d ago

Easy Apply

Contract

Depends on Experience

Performance Engineer

Mach Industries

San Luis Obispo, California • Today

Full-time

USD 110,000.00 - 150,000.00 per year

Fuel Performance Engineer

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Aerospace Engineer - Performance and Design

Empirical Systems Aerospace, Inc.

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USD 100,000.00 - 150,000.00 per year

Staff Aerospace Engineer - Performance and Design

Empirical Systems Aerospace, Inc.

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Full-time

USD 130,000.00 - 175,000.00 per year

Staff Performance Engineer - SDET

Boeing Employees Credit Union

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Senior Database Performance Engineer

AmeriSave Mortgage Corporation

Remote or Enterprise, Oregon • Today

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USD 100,000.00 - 170,000.00 per year

Senior Performance Software Engineer

NinjaOne

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Full-time

USD 150,000.00 - 230,000.00 per year

Senior Load and Performance Test Engineer

INTELLISAVVY, LLC

Remote or Houston, Texas • 10d ago

Easy Apply

Contract

Depends on Experience

Performance Test Engineer (Remote)

Abercrombie & Fitch Co.

Remote or Columbus, Ohio • Today

Full-time

Remote Sensing Architecture Performance Analyst Engineer

Aerospace Corporation

Remote or Chantilly, Virginia • Today

Full-time

USD 86,600.00 - 129,800.00 per year

Senior GenAI & High Performance Computing (HPC) Delivery Engineer

Dell Technologies

Remote or Illinois • Today

Full-time

USD 145,000.00 - 199,100.00 per year

Principal Engineer Tech Lead, Embodied AI & Off-Board Performance Evaluation

Motional

Remote or Boston, Massachusetts • Today

Full-time

USD 200,000.00 - 275,000.00 per year

Staff Software Engineer- Growth Performance Marketing

Pinterest, Inc.

Remote or San Francisco, California • Today

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USD 177,185.00 - 364,795.00 per year

Machine Learning Engineer II - Autonomous Driving Performance Evaluation

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Remote • Today

Full-time

USD 172,000.00 - 210,000.00 per year

Product Engineering, Senior AI Engineer

Nityo Infotech Corporation

Remote • 4d ago

Easy Apply

Full-time

Depends on Experience

AI Backend Engineer, Artificial Intelligence (AI) Required, Work From Home - M

Next Step Systems

Remote • Yesterday

Easy Apply

Full-time

$140,000 - $200,000

Staff Fullstack Software Engineer, Core Performance

Dropbox Inc

Remote • Today

Full-time

USD 248,200.00 - 335,800.00 per year

ServiceNow Performance Analytics Developer / Reporting Engineer

Sun Technologies,Inc.

Remote • 8d ago

Easy Apply

Contract

70 - 72

Quality Assurance Engineer

GDH

Remote • 21d ago

Easy Apply

Third Party, Contract

Depends on Experience

Quality Analyst III - Performance Lead

iSpace, Inc

Remote • Today

Easy Apply

Contract

40 - 45

Manager, Performance and Test Engineering

BambooHR

Remote or Utah • Today

Full-time

Software Engineer, Foundations

Hex Technologies

Remote or New York, New York • Today

Full-time

USD 215,000.00 - 270,000.00 per year

Design Verification Engineer

Reveille Technologies

Remote • Today

Easy Apply

Full-time

Depends on Experience

Sr. GraphQL Engineer

On-Demand Group

Remote • 30+d ago

Easy Apply

Contract

$70 - $80

UI/UX Designer (Ecommerce)

TekisHub Consulting Services

Remote • 29d ago

Easy Apply

Third Party, Contract

Depends on Experience

Senior Software Engineer I

OneStream Software LLC

Remote • Today

Full-time

USD 138,000.00 - 172,250.00 per year

Staff Software Engineer - Platform Engineering

Cohere Health

Remote • Today

Full-time

USD 185,000.00 - 225,000.00 per year

Aziro Technologies LLC

Job Details

Skills

GPU
pNFS/NFS
VAST
DDN
WEKA

Summary

Job Title: Performance Engineer

Preferred Location: Remote

Duration: Long term Contract

What you'll do

Set the performance architecture agenda. Bring deep, current expertise across file, block, and object storage protocols and translate it into concrete performance requirements for //EXA's data path (NFSv3 direct-to-DN, pNFS layouts, S3 via MDN) informed by how HPC and hyperscale environments actually push storage systems (checkpointing, small-file metadata storms, GPU-starved read patterns, mixed-tenant burst I/O).
Track and act on the NeoCloud / sovereign-cloud shift. Maintain a living view of where //EXA's highest-value deployments are heading GPU-cloud and sovereign-cloud operators (CoreWeave, Crusoe, Nscale, and similar) and make sure //EXA's performance roadmap, reference architectures, and sizing guidance map to how these operators actually buy and operate infrastructure (multi-tenant GPU clusters, bursty training/inference mixes, strict SLAs to end customers).
Own competitive performance positioning. Build and maintain deep, technically substantiated comparisons against VAST Data, DDN, and WEKA not marketing bullet points, but real architectural analysis (metadata scaling model, erasure coding/durability tradeoffs, protocol support, GPU-direct paths, cost/performance at scale) that engineering and field teams can use to win technical evaluations and POCs.
Drive performance tuning for multi-tenant HPC/AI workloads. Lead tuning and validation work spanning the full stack a GPU cluster touches storage (MDN/DN geometry, pack groups, erasure coding layout), networking (RDMA, RoCE/InfiniBand fabric behavior, NIC/queue tuning), and compute (GPU-side I/O patterns, checkpoint/restore, data loader behavior) with particular focus on how these interact when multiple tenants/workloads share the same //EXA fleet.
Build and run the benchmark suite. Own //EXA's benchmark framework and result credibility: MLPerf Storage (v2/v3), elbencho, IO500, fio/vdbench-class synthetic tests, and workload-representative benchmarks for AI training/inference and traditional HPC. Ensure results are reproducible, defensible in public disclosure, and directly comparable to published competitor numbers.
Define QoS, limits, and workload segmentation. Drive the technical requirements and validation for quality-of-service guarantees, per-tenant/per-workload throughput and IOPS limits, and workload isolation the mechanisms that let //EXA make hard SLA commitments in shared, multi-tenant NeoCloud deployments rather than best-effort performance.

What makes you competitive for this role

Deep, hands-on background in storage performance engineering across file, block, and object protocols, ideally with direct HPC or hyperscale exposure (parallel filesystems, pNFS/NFS at scale, S3-scale object stores).
Working knowledge of GPU cluster architecture RDMA fabrics, GPUDirect Storage, checkpoint/restore patterns for large model training and how storage bottlenecks manifest in mixed compute/network/storage systems.
Fluency with industry benchmark standards (MLPerf Storage, IO500) and load-generation tooling (elbencho, fio, vdbench), plus the judgment to design workload-representative tests beyond canned benchmarks.
Demonstrated ability to build rigorous, technically credible competitive analysis (not slideware) against systems like VAST, DDN, and WEKA architecture-level understanding, not just spec-sheet comparison.
Experience with multi-tenant resource management concepts (QoS, rate limiting, workload isolation) in a distributed systems context.
Comfortable operating across the stack and across audiences deep enough to debug an RDMA queue-pair stall or a metadata hot-partition, articulate enough to brief a NeoCloud customer's technical evaluation team.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10426227
Position Id: 9043896
Posted 4 days ago

Company Info

About Aziro Technologies LLC

Aziro (formerly MSys Technologies and pronounced as "Ah-zee-roh") is an AI-native product engineering company driving innovation-led transformation for global enterprises, high-growth ISVs, and AI-first pioneers.

Go to company profile

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Abdul Sirajudeen

Recruiter @ Aziro Technologies LLC

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Job Title : Performance EngineerLocation : Santa Clara, CA (Remote)Duration : Long term ContractIntroductionFlashBlade//EXA is Pure Storage's exascale, disaggregated storage architecture purpose-built for AI factories separating metadata (MDN) from data (DN) so each scales independently, and putting clients on a direct pNFS data path to the node that owns their bytes. As the Performance Technical Lead, you will own the performance story for //EXA end-to-end: how it's engineered, how it's proven,

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What you'll do Set the performance architecture agenda. Bring deep, current expertise across file, block, and object storage protocols and translate it into concrete performance requirements for //EXA's data path (NFSv3 direct-to-DN, pNFS layouts, S3 via MDN) informed by how HPC and hyperscale environments actually push storage systems (checkpointing, small-file metadata storms, GPU-starved read patterns, mixed-tenant burst I/O). Track and act on the NeoCloud / sovereign-cloud shift. Maintain a

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The RoleThe Storage Benchmarking Engineer will design, execute, and analyze performance benchmarks spanning both industry-standard storage benchmarks (fio, vdbench, SPEC SFS 2020, IO500, SPC-1/SPC-2) and the emerging class of AI/ML storage workloads (MLPerf Storage, DLIO, and GPU-driven training and inference data pipelines). As AI has made storage a first-order bottleneck in the GPU data path, this role sits at the intersection of high-performance storage and large-scale AI infrastructure. This

Easy Apply

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Aziro Technologies LLC

Job Details

Skills

GPU
pNFS/NFS
VAST
DDN
WEKA

Summary

Job Title: Performance Engineer

Preferred Location: Remote

Duration: Long term Contract

What you'll do

Set the performance architecture agenda. Bring deep, current expertise across file, block, and object storage protocols and translate it into concrete performance requirements for //EXA's data path (NFSv3 direct-to-DN, pNFS layouts, S3 via MDN) informed by how HPC and hyperscale environments actually push storage systems (checkpointing, small-file metadata storms, GPU-starved read patterns, mixed-tenant burst I/O).
Track and act on the NeoCloud / sovereign-cloud shift. Maintain a living view of where //EXA's highest-value deployments are heading GPU-cloud and sovereign-cloud operators (CoreWeave, Crusoe, Nscale, and similar) and make sure //EXA's performance roadmap, reference architectures, and sizing guidance map to how these operators actually buy and operate infrastructure (multi-tenant GPU clusters, bursty training/inference mixes, strict SLAs to end customers).
Own competitive performance positioning. Build and maintain deep, technically substantiated comparisons against VAST Data, DDN, and WEKA not marketing bullet points, but real architectural analysis (metadata scaling model, erasure coding/durability tradeoffs, protocol support, GPU-direct paths, cost/performance at scale) that engineering and field teams can use to win technical evaluations and POCs.
Drive performance tuning for multi-tenant HPC/AI workloads. Lead tuning and validation work spanning the full stack a GPU cluster touches storage (MDN/DN geometry, pack groups, erasure coding layout), networking (RDMA, RoCE/InfiniBand fabric behavior, NIC/queue tuning), and compute (GPU-side I/O patterns, checkpoint/restore, data loader behavior) with particular focus on how these interact when multiple tenants/workloads share the same //EXA fleet.
Build and run the benchmark suite. Own //EXA's benchmark framework and result credibility: MLPerf Storage (v2/v3), elbencho, IO500, fio/vdbench-class synthetic tests, and workload-representative benchmarks for AI training/inference and traditional HPC. Ensure results are reproducible, defensible in public disclosure, and directly comparable to published competitor numbers.
Define QoS, limits, and workload segmentation. Drive the technical requirements and validation for quality-of-service guarantees, per-tenant/per-workload throughput and IOPS limits, and workload isolation the mechanisms that let //EXA make hard SLA commitments in shared, multi-tenant NeoCloud deployments rather than best-effort performance.

What makes you competitive for this role

Deep, hands-on background in storage performance engineering across file, block, and object protocols, ideally with direct HPC or hyperscale exposure (parallel filesystems, pNFS/NFS at scale, S3-scale object stores).
Working knowledge of GPU cluster architecture RDMA fabrics, GPUDirect Storage, checkpoint/restore patterns for large model training and how storage bottlenecks manifest in mixed compute/network/storage systems.
Fluency with industry benchmark standards (MLPerf Storage, IO500) and load-generation tooling (elbencho, fio, vdbench), plus the judgment to design workload-representative tests beyond canned benchmarks.
Demonstrated ability to build rigorous, technically credible competitive analysis (not slideware) against systems like VAST, DDN, and WEKA architecture-level understanding, not just spec-sheet comparison.
Experience with multi-tenant resource management concepts (QoS, rate limiting, workload isolation) in a distributed systems context.
Comfortable operating across the stack and across audiences deep enough to debug an RDMA queue-pair stall or a metadata hot-partition, articulate enough to brief a NeoCloud customer's technical evaluation team.

Dice Id: 10426227
Position Id: 9043896
Posted 4 days ago

Company Info

About Aziro Technologies LLC

Go to company profile

Fitment

Dice Job Match Score™

🧠 Analyzing your skills...

Contact the job poster

Abdul Sirajudeen

Recruiter @ Aziro Technologies LLC

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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