Quality Assurance Engineer Intern - Annapurna, Annapurna ML
Amazon
Description
Amazon Web Services (AWS) internships are full-time (40 hours/week) for 12 consecutive weeks during summer. By applying to this position, your application will be considered for all locations we hire for in the United States.
In Annapurna Labs we are at the forefront of hardware co-design not just in Amazon Web Services (AWS) but across the industry. The work we do is cutting-edge and internet-scale while also being deeply important to our customers. We design and build every component of our hardware and software to come together into products that our customers use for accelerated computing: either Machine Learning acceleration, or FPGA acceleration.
Neuron Quality & Automation (NQA) is a quality assurance and automation development team within Neuron providing the release infrastructure, test automation framework, and tooling used by all SDEs on Neuron SDK working with these custom ML ASICs from Annapurna Labs.
If this sounds exciting to you - come build the future with us!
Key job responsibilities
• Use technical knowledge to create, execute, and maintain software test plans and automation involving one or more product components and/or features
• Create and maintain automation scripts, make configuration changes, and modify/extend test cases to accommodate feature releases
• Develop test solutions, scripts, and simple tools to reduce manual effort, audit component, or improve feature quality.
• Troubleshoot automation failures and isolate bugs to help developers research the root cause of defects
• Analyze change requests and provide recommendations on how change might impact test scope and/or product behavior
Basic Qualifications
- Enrolled in a Bachelor’s Degree or higher in computer science, computer engineering, or other equivalent technical discipline with an expected conferral date after December 2024
- Knowledge of one or more scripting languages (e.g., Python, Ruby, Perl)
- Knowledge of software-testing techniques (e.g., equivalence class partitioning), and software testing life cycle
- Experience with technologies such as Selenium, Junit, TestNG, and other open-source tools
Preferred Qualifications
- Enrolled in a Master’s Degree or advanced technical degree program
- Experience in four core software-testing techniques: 1) equivalence class partitioning; 2) boundary value testing; 3) verifying each requirement; and 4) state transition.
- Experience executing and maintaining black box test cases
- Experience troubleshooting issues and root cause analysis
- Excellent communication, collaboration, analytical, and problem-solving skills
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $36.39/hr in our lowest geographic market up to $88.03/hr 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.
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