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Key job responsibilities
• Translate ambiguous problems into well defined mathematical problems• Prototype, test, and implement state-of-the-art algorithms for antenna pointing calibration, anomaly detection, predictive failure models, and ground terminal performance evaluation• Provide actionable recommendations for system design/definition by defining, running, and summarizing physically-accurate simulations of ground terminal functionality• Collaborate closely with engineers to deploy performant, scalable, and maintainable applications in the cloudExport Control Requirement:
A day in the life• Design, development, deployment, and support of a Tier-1 Monitoring and Remediation System (MARS) needed to maintain high availability of hundreds of ground terminals deployed around the world• Ground systems integration/test (I&T) automation• Ground terminal configuration, provisioning, and acceptance automation• Systems analysis• Algorithm development (pointing/tracking/calibration/monitoring)• Software interface definition for supplier-provided hardware and development of software test automation
- Master's degree or above in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 4+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience
- Experience in statistics methodology, applications to business problems or big data
- Experience with statistical methods (e.g., A/B Testing, Regression)
- Experience in new hardware product development
- Knowledge of one or more ML Frameworks (e.g., PyTorch, TensorFlow) and ML methods including NLP models (BERT, GPT-2/3), computer vision-based models (object detection, image recognition), and text-based models (Seq2Seq, Topic modeling)
- Experience with cloud computing technologies
- Knowledge of data structures, algorithm design, statistics, and system design
- Experience in calibration and anomaly detection
- Expert science/data science development experience in Python
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On-site Manufacturing Engineers work closely with our CMs to scale up our production on NPIs and ensure that we can meet the production and quality targets. You will also work with ODMs, CMs, internal AWS hardware and software development teams, and with upstream component vendors to monitor and improve the incoming hardware quality of AWS products both proactively in the design phase as well as monitoring, reporting and investigating any early-life product failures. This role requires the engineer to be a technical contact and take on full ownership of the manufacturing launch and resolution of process issues. You will be the driver in getting production up and running, understanding root cause of hardware failures and resolving gaps in our suppliers manufacturing processes.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.Key job responsibilities
- Manage quality at the CM
- Provide On-Site support to new product launches as well as sustaining issues
- Design in quality and manufacturability on new designs of servers and racksAmazon Web Services (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.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.
- Bachelor's or Master’s degree in Industrial, Manufacturing Engineering or similar related field or equivalent experience
- 2+ years of Manufacturing Engineering work experience with server platforms or on high-tech hardware
- 5+ working with manufacturing suppliers to improve incoming quality of systems
- 5+ years Experience reducing cycle time and improving labor efficiency
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On-site Manufacturing Engineers work closely with our CMs to scale up our production on NPIs and ensure that we can meet the production and quality targets. You will also work with ODMs, CMs, internal AWS hardware and software development teams, and with upstream component vendors to monitor and improve the incoming hardware quality of AWS products both proactively in the design phase as well as monitoring, reporting and investigating any early-life product failures. This role requires the engineer to be a technical contact and take on full ownership of the manufacturing launch and resolution of process issues. You will be the driver in getting production up and running, understanding root cause of hardware failures and resolving gaps in our suppliers manufacturing processes.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.Key job responsibilities
- Manage quality at the CM
- Provide On-Site support to new product launches as well as sustaining issues
- Design in quality and manufacturability on new designs of servers and racksAmazon Web Services (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.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.
- Bachelor's or Master’s degree in Industrial, Manufacturing Engineering or similar related field or equivalent experience
- 2+ years of Manufacturing Engineering work experience with server platforms or on high-tech hardware
- 5+ working with manufacturing suppliers to improve incoming quality of systems
- 5+ years Experience reducing cycle time and improving labor efficiency
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About OpsTech IT
About The Role
As an IT Support Associate II, you will use your skills to support the operations team in resolving technical problems within Amazon operations facilities in a defined geographical area that span across a multitude of technical disciplines. We are committed to improvement; you will be encouraged to participate in career development opportunities as presented to progress your career at Amazon.Key job responsibilities
Responsibilities include, but are not limited to- Handling support requests and procedures across the network.
- Assisting in training new hires.
- Continuous learning of new technologies.- Moving up to 49lbs as well as standing and walking for shifts lasting up to 12 hours.
- Experience troubleshooting integrated and interdependent computer systems
- Experience maintaining zebra thermal printers, troubleshooting thin clients, PCs, scanners, and portable handheld terminals
- 1+ years of corporate setting Windows, Mac or Linux Operating systems support experience
- High school or equivalent
- CompTIA A+, CompTIA Network+, Cisco/CCNA, Linux (Redhat), Microsoft hardware (installation), AWS, or other industry relevant certifications
- Experience in a dynamic environment with a high degree of customer service
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The specialist will collaborate with our customers and partners on key engagements. You will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects in order to migrate Applications from on-premise databases like Oracle/SQL*Server to AWS eg. AWS RDS, Aurora-PostgreSQL/MySQL or other Open Source platforms.You will focus on customer solutions such as high volume OLTP/OLAP environments, designing and deploying future state petabyte-scale data services and building and/or designing reference configurations to enable our customers and influence AWS RDS, Aurora, DynamoDB and other NoSQL databases adoption.Key job responsibilities
- Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Participate as a leader in AWS technical communities.About the team
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
- 5+ years of design, implementation, or consulting in applications and infrastructures experience
- 3+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 2+ years of IT development or implementation/consulting in the software or Internet industries experience
- Knowledge of AWS services
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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As a Database Solutions Architect you will design complete solution architectures based on AWS database services.The specialist will collaborate with our customers and partners on key engagements. You will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects in order to develop or migrate Applications from on-premise databases like Oracle/SQL*Server to AWS eg. AWS RDS, Aurora-PostgreSQL/MySQL or other Open Source platforms. You will focus on customer solutions such as high volume OLTP/OLAP environments, designing and deploying future state petabyte-scale data services and building and/or designing reference configurations to enable our customers and influence AWS RDS, Aurora, DynamoDB and other NoSQL databases adoption.Key job responsibilities
- Serve as a trusted technical advisor to Capital Markets executives, helping them navigate cloud transformation and digital innovation- Champion industry best practices through AWS blogs, white-papers, and reference architectures specific to Cap Markets solutions. Present at key industry events including AWS re:Invent, AWS Summit, and major Financial Services conferences- Provide feedback to AWS product teams on industry-specific requirements and act as primary point of contact for urgent customer issues in your technical specialty.
- Stay current with emerging trends in the Financial Services and Cap Markets industry to help customers innovate and maintain competitive advantageAbout the team
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
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- Deep knowledge and experience on at least one commercial relational database (Oracle, SQL Server, IBM2), or open source database (PostgreSQL, MySQL, MariaDB).
- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communities
- Expertise with Open Source database technologies such as PostgreSQL and NoSQL databases like ElastiCache and DynamoDB.
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
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Key job responsibilities
• Develop, curate, and improve highly scalable application security rules to identify coding and configuration flaws
• Evaluate and recommend new security testing tools
• Deep dive code and research application frameworks to identify weaknesses and detection opportunities
• Leverage application system telemetry to extract insights and identify vulnerabilities
• Analyze and secure our applications during runtime
• Detect perimeter exposures
• Develop, enhance, and interpret security standards and guidance
• Demonstrate and promote security best practices, drive improvements of Amazon’s overall security architectureDiverse Experiences
Amazon Security 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 Balance
- Experience in one or more of the following domains: access- control system and methodology, network security, application- and system-development security, security architecture and models, cryptography, and operations security
- Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design
- Experience using known industry SAST/DAST tools.
- Experience with pentesting or application security research.
- Application development experience.
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Key job responsibilities
• Translate ambiguous problems into well defined mathematical problems• Prototype, test, and implement state-of-the-art algorithms for antenna pointing calibration, anomaly detection, predictive failure models, and ground terminal performance evaluation• Provide actionable recommendations for system design/definition by defining, running, and summarizing physically-accurate simulations of ground terminal functionality• Collaborate closely with engineers to deploy performant, scalable, and maintainable applications in the cloudExport Control Requirement:
A day in the life• Design, development, deployment, and support of a Tier-1 Monitoring and Remediation System (MARS) needed to maintain high availability of hundreds of ground terminals deployed around the world• Ground systems integration/test (I&T) automation• Ground terminal configuration, provisioning, and acceptance automation• Systems analysis• Algorithm development (pointing/tracking/calibration/monitoring)• Software interface definition for supplier-provided hardware and development of software test automation
- Master's degree or above in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 4+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience
- Experience in statistics methodology, applications to business problems or big data
- Experience with statistical methods (e.g., A/B Testing, Regression)
- Experience in new hardware product development
- Knowledge of one or more ML Frameworks (e.g., PyTorch, TensorFlow) and ML methods including NLP models (BERT, GPT-2/3), computer vision-based models (object detection, image recognition), and text-based models (Seq2Seq, Topic modeling)
- Experience with cloud computing technologies
- Knowledge of data structures, algorithm design, statistics, and system design
- Experience in calibration and anomaly detection
- Expert science/data science development experience in Python
These jobs might be a good fit