Amazon.com’s Product Detail Page team is looking for a talented applied scientist to design and develop scalable multi-tiered shopping application features to enhance the online shopping experience worldwide.
Responsibilities
Develop next-generation optimization algorithms for Detail Page
Identify business opportunities and propose new features
Design and enforce company-wide technical standards
Develop and deliver advanced data mutation platform features for BigQuery, focusing on transactional capabilities, data manipulation, and high-performance data loaders for AI/ML workloads.
Support Advanced Ground Architecture team with Java, C++, ReactJS, Python, CI/CD pipelines and Agile methodologies.
Locations (4)
Seal Beach, California, United States
El Segundo, California, United States
Colorado Springs, Colorado, United States
Herndon, Virginia, United States
Compensation
Summary Pay Range for Experienced level (Level 3): USD $126,650 – $182,850
Summary Pay Range for Senior level (Level 4): USD $160,650 – $232,300
Responsibilities
Designs, develops, tests, and maintains software in an Agile execution that meets industry, customer, safety, and regulation standards throughout the end-to-end lifecycle
Executive Director, AI/ML — Forecasting, Constraint Optimization, and Recommendation Systems
Lead the creation and operation of a complex, constraint-based optimization and recommendation ecosystem supporting the bank’s operations, integrating time-series predictions and demand forecasts with optimization models.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Lead the design and delivery of a complex constraint-optimization recommendation system
Formulate global, system-wide optimization objectives and constraints
Develop and validate time-series and demand-driven predictive models
Build and lead a multidisciplinary team of applied AI/ML researchers, optimization specialists, and engineers
Drive significant business stakeholder management across executive leadership and product, business, analytics, data, and engineering partners
Requirements
PhD in Computer Science in Artificial Intelligence, Operations Research, or a closely related quantitative discipline
Nice to have: advanced research or specialized doctoral work at the intersection of AI/ML, time-series forecasting, demand modeling, and constraint optimization
Nice to have: deep experience with distributed infrastructure
Nice to have: deep experience with distributed ML and scalable optimization
Nice to have: deep experience with production model lifecycle management
Staff/Senior Systems Engineer - Data Center & Server Infrastructure
Support, test and validate server/storage system level products, configure, deploy, troubleshoot, validate server/storage performance and application solutions.
Compensation
Pay: 170-195k
Responsibilities
Define and develop application benchmarks based on enterprise computing requirements
Execute benchmark testing and build proof of concepts based on latest data center technologies
Work with product managers and system engineers to draft technical marketing presentations and white papers
Proactively engage in learning and researching new technologies and products to propose new Proof of Concepts
Work with sales and customers to provide networking solution and technical knowledge
Senior Solutions Architect to drive technical engagement with customers and partners across NVIDIA’s AI Software Segment Solutions Architecture team, focused on open-weight AI models.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
Responsibilities
Serve as a trusted advisor who understands complex or large-scale customer workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes.
Co-design advanced, scalable architectures with customers and partners, defining technical direction, integration achievements, and deployment plans.
Engage hands‑on with deep technical topics—designing, validating, and supporting solutions that enable customer and partner success.
Lead technical engagements, helping customers resolve sophisticated issues, and advocate for their technical needs.
Partner multi‑functionally with engineering and product teams to ensure successful deployment and continuous improvement of NVIDIA solutions.
Requirements
Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, Mathematics, Physics, Data Science, or a related field.
Senior Solutions Architect to drive technical engagement with customers and partners across NVIDIA’s AI Software Segment, focused on open-weight AI models.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
Responsibilities
Serve as a trusted advisor who understands complex or large-scale customer workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes.
Co-design advanced, scalable architectures with customers and partners, defining technical direction, integration achievements, and deployment plans.
Engage hands‑on with deep technical topics—designing, validating, and supporting solutions that enable customer and partner success.
Lead technical engagements, helping customers resolve sophisticated issues, and advocate for their technical needs.
Partner multi‑functionally with engineering and product teams to ensure successful deployment and continuous improvement of NVIDIA solutions.
Requirements
Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, Mathematics, Physics, Data Science, or a related field.
Embedded Flight Software Engineer I responsible for designing, implementing, testing, and maintaining real‑time flight software for scientific instruments on spacecraft.
Compensation
$96,616 - $117,104
Responsibilities
Design and implement real‑time flight software for science instruments
Work with Instrument engineers to generate software requirements and design of the flight software components
Design software modules for flight system functions and interfaces
Develop test plans, unit tests, regression tests and evaluate results
Identify and troubleshoot technical issues with flight software
Requirements
Bachelor's in Computer Science or Computer Engineering or related technical discipline
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