Sr Software Development Engineer Test Blink jobs at Amazon in United Kingdom, Cambridge

Key job responsibilities
- Evaluate 3rd party IP blocks
- Estimate power, performance, and area for significant IPs early in design cycle
- Execute on design specifications to deliver high quality RTL
- Ensure quality by running and tracking results of front-end tools including: Synthesis, Lint (RTL, DFT, UPF), Power Analysis and STA

- Bachelor's degree in Electrical Engineering, Communications Engineering or related field, or equivalent experience
- Experience in digital design
- Experience with products that have gone to volume production
- Hands on experience in low power design techniques
- Strong written and verbal skills
- Experience writing and reviewing design specifications

- Master's or Ph.D degree in Electrical / Communications Engineering
- Extensive experience in digital design
- Experience with physical implementation flows

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.A Program Manager in Central Operations your responsibilities will focus on driving efficiencies into our service, support, transportation, execution and engineering business models to reduce our marginal costs and optimize capacity deliveries. You will own and manage service goals that may span multiple organizations and teams within multiple subject areas simultaneously. Business-impacting projects you would be responsible for will enhance data center operations efficiency. It is expected that these projects require timely execution with the highest degrees of safety, security, performance, availability and reliability. Our ideal candidate is an articulate, motivated, and organized individual with experience in leading global initiatives at an enterprise scale. The role requires the ability to quickly assimilate knowledge spanning numerous technology subjects and apply this to data center projects, products and operations.
Key job responsibilities
Develop Key Performance Indicators (KPI's) and Organizational goals tracking dynamic cross-organizational programs and products.Coordinate effective cross-organizational engagements to drive closure on long standing, complex, and often ambiguous problem sets.Own one or more highly visible, complex, cross-functional projects from end to end; including product definition, roadmap planning, resource planning and project execution.Synthesize large and complex data sources and program details into concise narratives and program status reports.Be data-driven and understand how to identify the right data points to effectively articulate the What, Why, and How of in scope projects.
Why AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 5+ years of program or project management experience
- Experience using data and metrics to determine and drive improvements
- Experience owning program strategy, end to end delivery, and communicating results to senior leadership

- 2+ years of driving process improvements experience
- Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field

Innovators will be delighted with our integrated verification/validation environment that is used to perform architectural modeling to post-silicon validation. The team works backwards from customer requirements to build super-low power, energy efficient designs that include the latest in AI, video processing, low power communications and CMOS fabrication technology.
Key job responsibilities
- Built UVM based testbenches and components- Use and/or build bit accurate C models- Evaluate block and sub-systems for testability/verifiability- Write comprehensive block and system level testplans- Build assertions, traffic generators and scoreboards- Execute testplans and perform rigorous debug

- Bachelor's degree in Electrical Engineering or a related field
- Experience identifying bugs in architecture, algorithms, functionality, and performance with strong overall debugging skills
- Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing
- UVM Based testbench development

- Master's degree in Electrical or Communications Engineering or a related field
- Experience with formal verification techniques including abstraction and end-to-end checking
- Experience with industry standard tools and scripting languages (Python or Perl) for automation
- System Verilog coding and debug

Key job responsibilities
- Define architecture specifications based on requirements from product teams- Create microarchitecture specifications suitable for being implemented by junior engineers- Evaluate 3rd party IP blocks- Estimate power, performance, and area for significant IPs early in design cycle- Execute on design specifications to deliver high quality RTL- Ensure quality by running and tracking results of front-end tools including: Synthesis, Lint (RTL, DFT, UPF), Power Analysis and STA

- Bachelor's degree in Electrical Engineering or a related field
- Experience building complex UVM components, traffic generators and scoreboards
- Experience in architecting and building block, cluster and system level testbenches
- System Verilog experience and senior level debug skills.
- Experience in leading full chip or complex IP development from architecture through T/O

- Master's degree or Ph.D. degree in Electrical Engineering or related field
- Experience with formal verification techniques including abstraction and end-to-end checking
- Extensive experience in digital design
- Experience with physical implementation flows

AWS Training & Certification (T&C) is seeking a Systems Development Engineer I (SysDE 1) to help build and maintain automation tools and infrastructure that enhance how AWS training content is created, updated, and delivered.
You will work with senior engineers to design and deliver automation components and monitoring systems that improve efficiency and reliability of content publishing and refresh workflows. This role is ideal for someone eager to deepen their systems engineering, automation, and AWS cloud skills in a fast-moving environment.Key job responsibilities
* Develop, test, and deploy automation scripts, tools, and services that improve content maintenance and publishing workflows.
* Support system reliability and operational excellence by implementing monitoring, alerting, and runbook automation.
* Participate in code and design reviews, learning from experienced engineers and incorporating feedback.
* Contribute to the diagnosis and resolution of system issues and participate in root-cause analysis.
* Document processes and system designs to improve team onboarding and sustainability.
* Learn and apply best practices in resilience engineering, security, and accessibility.A day in the lifeAWS Global Services
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Bachelor's degree or above in computer science, computer engineering, or related field
- 1+ years of software development, or 3+ years of systems engineering experience
- Knowledge of at least one programming language such as Java, C#, JavaScript, Python, Ruby or Perl
- Experience troubleshooting and debugging technical systems, or experience in technical support and experience with automation and any version control tools

- Experience with CI/CD pipelines build processes
- Knowledge of large scale automation and workflow management or equivalent
- Experience using managed ML/AI solutions
- AWS Certification (Developer Associate or SysOps Administrator) preferred.

You will learn all about how to design, implement and test highly scalable solutions using AWS cloud platform and its many products, in challenging agile projects, working with best in class professionals.Key job responsibilities
Build services/integration for Financial Applications using Native AWS services, machine learning and generative AI.

- 5+ years of non-internship professional software development experience
- 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 5+ years of full stack development experience

- 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

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Experience developing software code in one or more programming languages (java, python, etc.)
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)

- AWS Experience preferred, with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training