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Aircraft Performance Engineer Remote Jobs in Austin, TX

Senior Software Engineer - Remote

Austin, TX · Remote

$121K - $160K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Ensure data quality, integrity, security, and performance across data platforms. * Collaborate with ...

Data Engineer (Remote Opportunity)

Austin, TX · Remote

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Ensure data quality, integrity, security, and performance across data platforms. * Collaborate with ...

General application data and performance analysis Requirements * 2+ years experience with ... Strong programming skills in Python * Experience with SQL and NoSQL databases * Strong problem ...

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Aircraft Performance Engineer Remote information

See Austin, TX salary details

$48.1K

$80.1K

$118K

How much do aircraft performance engineer remote jobs pay per year?

As of Aug 14, 2026, the average yearly pay for aircraft performance engineer remote in Austin, TX is $80,078.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $94,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an aircraft performance engineer remote, and why are they important?

To excel as an Aircraft Performance Engineer (Remote), you need a strong background in aerospace engineering, flight dynamics, and aircraft systems, typically supported by a relevant engineering degree. Familiarity with simulation software (such as MATLAB, Simulink, or Python-based tools), aircraft performance databases, and sometimes FAA/EASA certification standards is important. Strong analytical thinking, problem-solving, and effective remote communication skills help you collaborate with cross-functional teams and manage complex projects. These skills ensure the accurate analysis and optimization of aircraft performance, leading to safer and more efficient flight operations.

What does an aircraft performance engineer do when working remotely?

An Aircraft Performance Engineer working remotely is responsible for analyzing, evaluating, and optimizing the performance characteristics of aircraft, such as speed, fuel efficiency, climb rates, and payload capabilities. They use advanced software tools to simulate flight conditions and ensure compliance with safety and regulatory standards. Remote work involves collaborating with engineering teams, providing technical reports, and supporting aircraft design or modification projects through virtual meetings and digital platforms. Strong analytical skills and expertise in aerodynamics, propulsion, and aviation regulations are essential for this role.

How does an aircraft performance engineer collaborate with cross-functional teams in a remote work environment?

As a remote Aircraft Performance Engineer, collaboration is typically achieved through virtual meetings, shared digital platforms, and cloud-based data analysis tools. You’ll work closely with flight test engineers, aerodynamics specialists, and software developers to analyze performance data and develop optimization strategies. Regular communication and clear documentation are essential to ensure alignment across teams and project milestones. While remote work offers flexibility, it also requires proactive engagement to stay connected with colleagues and effectively contribute to multidisciplinary projects.

What is the difference between Aircraft Performance Engineer Remote vs Aircraft Systems Engineer?

AspectAircraft Performance Engineer RemoteAircraft Systems Engineer
CredentialsEngineering degree, certifications in aeronautics or aerospaceEngineering degree, certifications in aerospace or systems engineering
Work EnvironmentRemote, often collaborating with airline or aerospace companiesOn-site or hybrid, working with aircraft systems and hardware
Industry UsageAirlines, aerospace manufacturers, consulting firmsAircraft manufacturers, defense contractors, aerospace firms

Aircraft Performance Engineer Remote and Aircraft Systems Engineer roles share similar engineering credentials and industry usage. However, the Performance Engineer focuses on aircraft efficiency and flight performance remotely, while the Systems Engineer concentrates on aircraft systems design and integration, often on-site. Both roles are vital in aerospace but differ in daily tasks and work environment.

What job categories do people searching Aircraft Performance Engineer Remote jobs in Austin, TX look for?

The top searched job categories for Aircraft Performance Engineer Remote jobs in Austin, TX are:

What cities near Austin, TX are hiring for Aircraft Performance Engineer Remote jobs?

Cities near Austin, TX with the most Aircraft Performance Engineer Remote job openings:

W2 Role- Machine Learning Performance Engineer - CUDA Python[50% Travel-remote]

SmartIPlace

Austin, TX • Remote

$143K/yr

Contractor

Re-posted 8 days ago


Job description

Title: Machine Learning Performance Engineer - CUDA Python

Work Authorization – USC / GC only

Interview: Video

Duration:  6-month contract maybe extensions  

 

 

Location:  50% travel

 

Duration: 6 month contract

*Must be willing to travel 50% of the time

*Must have strong pre-sales abilities i.e. presentation skills, communication skills, etc.

*Must be willing to help train employees and customers

Your part here is optimizing the performance of our models – both training and inference. We care about efficient large-scale training, low-latency inference in real-time systems, and high-throughput inference in research.

Part of this is improving straightforward CUDA, but the interesting part needs a whole-systems approach, including storage systems, networking, and host- and GPU-level considerations. Zooming in, we also want to ensure our platform makes sense even at the lowest level – is all that throughput actually goodput? Does loading that vector from the L2 cache really take that long?

  • An understanding of modern ML techniques and toolsets
  • The experience and systems knowledge required to debug a training run’s performance end to end
  • Low-level GPU knowledge of PTX, SASS, warps, cooperative groups, Tensor Cores, and the memory hierarchy
  • Debugging and optimization experience using tools like CUDA GDB, NSight Systems, NSight Compute
  • Library knowledge of Triton, CUTLASS, CUB, Thrust, cuDNN, and cuBLAS
  • Intuition about the latency and throughput characteristics of CUDA graph launch, tensor core arithmetic, warp-level synchronization, and asynchronous memory loads
  • Background in Infiniband, RoCE, GPUDirect, PXN, rail optimization, and NVLink, and how to use these networking technologies to link up GPU clusters
  • An understanding of the collective algorithms supporting distributed GPU training in NCCL or MPI
  • An inventive approach and the willingness to ask hard questions about whether we're taking the right approaches and using the right tools

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

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