Amazon·E-commerce·10 days ago
10 days ago
PNT Estimation and Algorithms Engineer, Flight Dynamics Research
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What you'll do
- Design, implement, and validate orbit determination (OD) and clock estimation algorithms, including Extended Kalman Filters (EKF), Barch Least Square, Square-Root/Sigma-Point Kalman Filters (SKF), and Factor Graph Optimization (FGO) approaches
- Develop inter-satellite link (ISL) navigation and time-transfer measurement models, including range and range-rate
- Evaluate and integrate emerging estimation techniques (batch/sequential estimation, robust filtering, multi-sensor fusion) to improve positioning and timing accuracy
- Design and build simulation and analysis frameworks (e.g., Monte Carlo CONOPS studies) to characterize filter performance, covariance realism, and convergence behavior
- Collaborate with cross-functional teams to ensure estimator outputs meet mission-level accuracy requirements
- Conduct performance analysis and troubleshooting of estimation algorithms across distributed constellation and ground infrastructure
What they're looking for
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience in complex problem solving, and working in a tight schedule environment
- Master's degree in Electrical Engineering, Aerospace Engineering, or a related field, and 4+ years of research experience in academia, industry, or government
- Experience analyzing both experimental and observational data sets
- Experience with data analysis tools such as Matlab or Python
- Proven experience developing and tuning estimation algorithms (Kalman filtering, batch least-squares, or factor graph optimization) for navigation or metrology applications
- Experience with orbit determination, sensor fusion, or state estimation for dynamic systems
Nice to have
- PhD in a relevant field
- Experience with GNSS-based orbit determination or precise point positioning (PPP)
- Understanding of time scale algorithms, clock modeling (Allan deviation), and their integration into navigation filters
- Experience with inter-satellite link (ISL) ranging, optical navigation, or crosslink-based OD
- Familiarity with tools such as Orekit, GMAT, or comparable astrodynamics/estimation libraries
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
As a member of a growing PNT team within Amazon Leo, the PNT Estimation and Algorithms Engineer is responsible for designing, implementing, optimizing and monitoring high-precision estimation architectures across terrestrial and space-based networks. You will develop and validate orbit determination, filtering, and sensor fusion algorithms to achieve high precision positioning and timing accuracy using RF and optical inter-satellite link measurements.
Export Control Requirement
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Key job responsibilities
Design, implement, and validate orbit determination (OD) and clock estimation algorithms, including Extended Kalman Filters (EKF), Batch Least Squares, Square-Root/Sigma-Point Kalman Filters (SKF), and Factor Graph Optimization (FGO) approaches
Develop inter-satellite link (ISL) navigation and time-transfer measurement models, including range and range-rate
Evaluate and integrate emerging estimation techniques (batch/sequential estimation, robust filtering, multi-sensor fusion) to improve positioning and timing accuracy
Design and build simulation and analysis frameworks (e.g., Monte Carlo CONOPS studies) to characterize filter performance, covariance realism, and convergence behavior
Collaborate with cross-functional teams to ensure estimator outputs meet mission-level accuracy requirements
Conduct performance analysis and troubleshooting of estimation algorithms across distributed constellation and ground infrastructure
- Experience in complex problem solving, and working in a tight schedule environment
- Master's degree in Electrical Engineering, Aerospace Engineering, or a related field, and 4+ years of research experience in academia, industry, or government
- Experience analyzing both experimental and observational data sets
- Experience with data analysis tools such as Matlab or Python
- Proven experience developing and tuning estimation algorithms (Kalman filtering, batch least-squares, or factor graph optimization) for navigation or metrology applications
- Experience with orbit determination, sensor fusion, or state estimation for dynamic systems
- Experience with GNSS-based orbit determination or precise point positioning (PPP)
- Understanding of time scale algorithms, clock modeling (Allan deviation), and their integration into navigation filters
- Experience with inter-satellite link (ISL) ranging, optical navigation, or crosslink-based OD
- Familiarity with tools such as Orekit, GMAT, or comparable astrodynamics/estimation libraries
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
USA, WA, Redmond - 136,000.00 - 184,000.00 USD annually
Export Control Requirement
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Key job responsibilities
Design, implement, and validate orbit determination (OD) and clock estimation algorithms, including Extended Kalman Filters (EKF), Batch Least Squares, Square-Root/Sigma-Point Kalman Filters (SKF), and Factor Graph Optimization (FGO) approaches
Develop inter-satellite link (ISL) navigation and time-transfer measurement models, including range and range-rate
Evaluate and integrate emerging estimation techniques (batch/sequential estimation, robust filtering, multi-sensor fusion) to improve positioning and timing accuracy
Design and build simulation and analysis frameworks (e.g., Monte Carlo CONOPS studies) to characterize filter performance, covariance realism, and convergence behavior
Collaborate with cross-functional teams to ensure estimator outputs meet mission-level accuracy requirements
Conduct performance analysis and troubleshooting of estimation algorithms across distributed constellation and ground infrastructure
Basic Qualifications
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products- Experience in complex problem solving, and working in a tight schedule environment
- Master's degree in Electrical Engineering, Aerospace Engineering, or a related field, and 4+ years of research experience in academia, industry, or government
- Experience analyzing both experimental and observational data sets
- Experience with data analysis tools such as Matlab or Python
- Proven experience developing and tuning estimation algorithms (Kalman filtering, batch least-squares, or factor graph optimization) for navigation or metrology applications
- Experience with orbit determination, sensor fusion, or state estimation for dynamic systems
Preferred Qualifications
- PhD in a relevant field- Experience with GNSS-based orbit determination or precise point positioning (PPP)
- Understanding of time scale algorithms, clock modeling (Allan deviation), and their integration into navigation filters
- Experience with inter-satellite link (ISL) ranging, optical navigation, or crosslink-based OD
- Familiarity with tools such as Orekit, GMAT, or comparable astrodynamics/estimation libraries
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Redmond - 136,000.00 - 184,000.00 USD annually
E-commerce
Company
AmazonE-commerce
Redmond, United States of America
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