Software Development Engineer, Geographic Targeting

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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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, CO, Denver - 168,100.00 - 227,400.00 USD annually
USA, NY, New York - 184,900.00 - 250,200.00 USD annually
Application deadline: Aug 11, 2026

Amazon Ads is building the systems that determine where billions of ad impressions land geographically every day, and we need a Software Development Engineer to lead that work. You'll own the architecture that scores location signals in real time, turns those scores into bid-time features, and connects advertiser targeting to the physical world.

The Geo Targeting team sits at the intersection of ad tech, large-scale data infrastructure, and applied ML. Our systems process billions of bid requests daily, fusing multiple location signal sources to determine where an impression is coming from and how confident we are in that answer. The challenge is that location signals are noisy, often conflicting, and vary in reliability by country, device type, and signal source. You'll design the systems that make sense of that noise at bid-time latency, at global scale, under evolving privacy constraints. This is a hands-on engineering role where you'll write production code, lead design reviews, mentor engineers, and own systems that directly affect how hundreds of thousands of advertisers reach customers.

Key job responsibilities
- Design and build real-time location signal processing systems that ingest, score, and resolve multiple geo data sources at bid-time latency
- Architect data pipelines that connect large-scale address and device signals to impression-level location inference
- Own the integration between location intelligence systems and the bid optimization stack
- Solve for international coverage gaps where existing location inference methods are unreliable
- Drive operational excellence across geo infrastructure, including latency, accuracy measurement, and cost efficiency
- Lead design reviews, mentor engineers, and influence technical direction across adjacent teams in bidding, targeting, and measurement

A day in the life
Your days are anchored in code, but the problems change. One morning you're designing a system that processes location signals across billions of daily requests. That afternoon you're digging into data to figure out why accuracy drops for a specific carrier in Germany. The next day you're in a room with scientists and bidding engineers, debating how to turn a noisy signal into something the bidder can act on in microseconds. You own what you build, from design through production operations. You also mentor engineers, interview candidates, and write the documents that set technical direction. The problems are hard, the scale is massive, and the impact is direct.

About the team
We build the location intelligence that powers geographic targeting across Amazon's demand-side platform. Our customers are advertisers who need to reach people in specific places, from a single neighborhood to an entire country. The team is small and technical. Engineers work directly with scientists, product managers, and partner engineering teams across bidding, targeting, and measurement. You will have real ownership and direct influence on what we build and how we build it. We value clarity in thinking, simplicity in design, and rigor in operations. We are growing, and the people we hire now will define the team's technical culture.