Sr. Software Dev Engineer - Silicon RF ATE, Project Kuiper Silicon Team

- 7+ years of non-internship professional software development experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 7+ years of programming with at least one software programming language experience
- Experience as a mentor, tech lead or leading an engineering team
- Exensio / Optimal test / other semiconductor data management platforms.
- Implementation and bring-up of AI/ML tools and algorithms.
- Data science tools and techniques for optimizing manufacturing and product performance.
- Statistics & high-volume data analysis.
- Silicon manufacturing concepts like GR&R, MBIST, and ATPG
- Test data outputs such as STDFs from UFLEX and V93K ATEs.
- AWS technologies such as DynamoDB, S3, ECS, VPC, and IAM.
- Defining secure AWS cloud architectures using VPC, IAM, Cognito, and CDK.
- Internal web services and APIs with support for authentication and authorization.
- Working knowledge of database and ERP systems such as Oracle, SAP and E2Open.
- Working knowledge of semiconductor product development and production flow.
- Test automation of bench equipment for digital electronics (e.g. pattern generators, logic analyzers) and RF electronics (e.g. spectrum analyzers, VNAs).

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to un-served and under-served communities around the world.

Come work at Amazon!

As Senior Software Development Engineer in the Silicon & Systems team, you will engage with an experienced cross-disciplinary staff to conceive, design, and develop innovative software solutions for products developed for and deployed in Kuiper phased array antennas in LEO satellites and ground terminal products. You will work closely with internal inter-disciplinary teams and third-party vendors to implement software systems and tools to support the development of ICs, automate data aggregation from different sources, and generate data analytics / insights into product / system performance and metrics to meet our customers’ needs. You must be responsive, flexible and able to succeed within an open collaborative peer environment.

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, develop, troubleshoot, maintain, and support the software infrastructure necessary to operate high-volume ATE testers for high-volume semiconductor manufacturing, including diagnostics, test programs, result analysis, traceability, and alerts
- Define work flows and mechanisms for ATE software version control and release.
- Support integration of new data sources, including downstream processes such as phased array panel assembly / manufacturing, and debug integration issues with existing data sources to our yield management system.
- Define internal data format standards for use in ATE test programs, outsource fab and assembly site data, and data consumers. Write software to convert between data formats.
- Define secure mechanisms to ensure the confidentiality, integrity, and availability of silicon data, and support deployment of secure provisioning servers at OSATs.
- Create web interfaces for internal customers to reference data in the data lake, support customer returns, and monitor the data pipeline.
- Incorporate machine-learning algorithms to automate insights into manufacturing patterns to optimize product performance and quality.
- Implement a ground-up semiconductor NPI system integrated across systems such as Agile, Jira and Confluence.