ZipRecruiter

Log In

1

Performance Predictions Jobs (NOW HIRING)

Shield AI

WI · On-site

$220 - $340/hr

Lead development of high-fidelity 6DOF simulation environments and ensure accurate pre‑flight performance predictions. * Define and execute the verification strategy, including linear analysis ...

Shield AI

WI · On-site

$220K - $340K/yr

Lead development of high-fidelity 6DOF simulation environments and ensure accurate pre‑flight performance predictions. * Define and execute the verification strategy, including linear analysis ...

Amazon

Sr Performance Validation Engineer

Sunnyvale, CA · On-site

Develop and maintain performance models to predict silicon behavior including frequency, power consumption, and thermal characteristics. Create methodologies for accurate performance prediction and ...

Safran

Senior Aeroacoustics Engineer

New Brighton, MN · On-site

$115K - $125K/yr

The Aerospace Engineer 3 will contribute to team efforts by supporting sales proposals through performance predictions and technical presentations along with planning and managing workload with ...

Qualcomm

CPU Performance Analysis Engineer

Santa Clara, CA · On-site

$111.20 - $166.80/hr

Build competitive performance prediction models * Present the competitive performance data in a concise manner Minimum Skills/Experience * Strong grasp of computer architecture and OS fundamentals

previous pagenext page

Showing results 21-40

All JobsPerformance Predictions Jobs

Performance Predictions information

See salary details

$11

$47

$69

How much do performance predictions jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for performance predictions in the United States is $47.54, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $56.01 per hour, depending on experience, location, and employer.

What are performance predictions?

Performance predictions refer to the process of forecasting how well an individual, system, or organization will perform in the future based on current and historical data. In the context of jobs or business, it often involves using statistical models, data analysis, and sometimes machine learning to estimate outcomes such as sales, productivity, or employee performance. These predictions help organizations make informed decisions about resource allocation, hiring, and strategy. Accurate performance predictions can improve planning and reduce risks by identifying potential issues before they arise.

What are the key skills and qualifications needed to thrive as a performance analyst, and why are they important?

To thrive as a Performance Analyst, you need strong analytical skills, a background in statistics or data science, and a relevant degree in fields like mathematics, economics, or business. Proficiency in data analysis tools such as Excel, SQL, Python, and visualization platforms like Tableau or Power BI is typically required. Attention to detail, effective communication, and problem-solving abilities are valuable soft skills in this role. These competencies ensure accurate data interpretation, actionable insights, and clear reporting that drive organizational improvement.

What are some common challenges faced by professionals in performance predictions roles, and how can they overcome them?

Professionals working in Performance Predictions often encounter challenges such as managing large and complex datasets, ensuring the accuracy of predictive models, and effectively communicating findings to non-technical stakeholders. To overcome these challenges, it's important to stay current with modeling techniques, invest time in data cleaning and validation, and develop strong communication skills to translate technical insights into actionable business recommendations. Collaboration with cross-functional teams, like data engineers and business analysts, is also key to refining models and integrating predictions into strategic decision-making.

What is the difference between Performance Predictions vs Data Analysts?

AspectPerformance PredictionsData Analysts
Required credentialsTypically requires data analysis skills, statistical knowledge, and sometimes certifications in predictive modelingRequires strong analytical skills, proficiency in data manipulation, and often degrees in statistics, mathematics, or related fields
Work environmentOften involves working with forecasting models, predictive algorithms, and cross-department collaborationFocuses on data collection, cleaning, analysis, and reporting within various industries
Employer and industry usageUsed in finance, marketing, supply chain, and tech sectors for forecasting and decision-makingCommon across finance, healthcare, marketing, and business sectors for data-driven insights

Performance Predictions and Data Analysts both work with data, but Performance Predictions specializes in forecasting future outcomes using predictive models, while Data Analysts focus on analyzing historical data to generate reports and insights. Understanding these differences helps employers and job seekers target the right skills and roles.

More about Performance Predictions jobs

What job categories do people searching Performance Predictions jobs look for?

The top searched job categories for Performance Predictions jobs are:

Performance Predictions jobs near you
Infographic showing various Performance Predictions job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $98,889 per year, or $47.5 per hour.

Senior Staff Engineer, Flight Controls - X-BAT (R4812)

Shield AI

WI • On-site

$220 - $340/hr

Other

Re-posted yesterday

Job description

Job Description

In this role, you will own the flight control system for XBAT, with responsibility for delivering stable, predictable, and operationally robust performance across all phases of flight, including vertical takeoff, hover, transition out-bound, wing-borne flight, transition in-bound, and precision recovery.

What you’ll do
  • Design and deliver the flight control system across all phases of flight including control allocation strategies that manage actuator redundancy, saturation, and degraded operations.
  • Lead development of high-fidelity 6DOF simulation environments and ensure accurate pre‑flight performance predictions.
  • Define and execute the verification strategy, including linear analysis, Monte Carlo campaigns, disturbance/sensitivity/degraded operation testing, and HIL validation.
  • Diagnose and resolve simulation‑to‑flight mismatches, including unidentified dynamics and modeling gaps.
  • Support flight test operations, making risk‑informed decisions and driving rapid iteration between flights.
  • Integrate control systems with propulsion, aero, actuation, sensors, state estimation, and autonomy, ensuring the vehicle behaves predictably under real‑world disturbances and uncertainties.
  • Mentor and guide engineers while setting the technical standard for control system performance and rigor.
Required qualifications
  • 10+ years of experience in flight controls / GNC on real flight vehicles, with demonstrated ownership from design through flight test.
  • Demonstrated experience with control allocation design and implementation for over‑actuated systems with provisions for saturation and failure accommodation.
  • Strong background in:
    • Flight dynamics and 6DOF simulation.
    • Control theory and nonlinear systems.
  • Experience executing full V&V cycles, including pre‑flight performance prediction, Monte Carlo analysis, flight readiness assessment, and post‑flight analysis.
  • Proficiency in C++, MATLAB/Simulink, and/or Python, with experience deploying real‑time algorithms.
  • Ability to obtain and maintain a U.S. security clearance.
Preferred qualifications
  • VTOL or transition aircraft experience where control blending and allocation were critical to success.
  • Autonomous systems or missile/UAV GNC background.
  • Experience with flight safety, airworthiness, and mission assurance.
  • Familiarity with:
    • Sensor and air data systems.
    • Fault‑tolerant or adaptive control.
    • CI/CD pipelines and modern DevSecOps practices.
  • Experience with HIL or integrated simulation/test environments and Linux‑based development workflows (Git, etc.).
  • Experience operating in rapid development environments with tight iteration loops between simulation and test.

$220,000 - $340,000 a year

Full‑time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity.

Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment).

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

#J-18808-Ljbffr

Apply