דרושים Senior Business Intelligence Engineer Performance ב-אמזון ב-United States, Massachusetts

NOTE: This position shall primarily support second shift operations (~1430hrs - 2230hrs). In future, there may be rotation with first shift operations.Key job responsibilities
- Actively support and foster a culture of inclusion.
- Own Process optimization and cost reduction initiatives for sustaining processes.
- Perform critical process reviews including Risk and Hazard assessments.
- Development and Validation of processes specific to NPI programs.
Benefits summary:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- Bachelor’s degree in Mechanical Engineering, Industrial Engineering or related discipline.
- 5+ years’ experience in manufacturing environment and knowledge of GMP.
- Experience with Project Management tools.
- Experience in New Product Introduction environment including Phase-Gate process experience.
- Experienced CAD user, demonstrated capabilities in AutoCAD and SolidWorks.
- Experience using industry Problem Solving Tools such as 8D, Fishbone/Cause-Effect, or CAPA methodology.
- Experience using Quality & Statistical tools such as PFMEA, control charting, pareto, and histograms.
- Experience and proven skill in written and verbal business communications, organizational communications, reporting metrics.

- MBA or advanced Engineering degree preferred.
- Proven ability to manage and deliver projects with accelerated schedules.
- Proven analytical approach to problem-solving.
- Experience in manufacturing / process improvement (eg. Lean-Six Sigma).
- Experience with Manufacturing Execution Systems (MES), ERP systems, and Tool / Equipment programming.
- Self-motivated and able to solve problems independently and in team settings.
- Experience with Process Optimization Tools including Programming, Mapping, Simulation or various algorithms.

Utility Computing (UC)
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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 & 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 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

In this role, you will work closely with research teams to design, build, and maintain systems for training and evaluating state-of-the-art agent models.Key job responsibilities
* Develop cutting-edge training infrastructure to ensure large-scale reinforcement learning on LLMs runs highly efficient and robust.
* Work across the entire technology stack, including low level ML system, job orchestration and data management.
* Analyze, troubleshoot and profiling complex ML systems, identify and address performance bottlenecks.
* Work closely with researchers, conduct MLSys research to create new techniques, infrastructure, and tooling around emerging research capabilities.

- PhD, or Master's degree and 3+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience debugging ML systems

- PhD in Computer Science, Machine Learning, or a related field, with a focus on ML System.
- Demonstrated experience in developing, implementing and debugging large scale ML systems.
- Experience with distributed system, Megatron, vLLM, Ray, and working with GPUs.
- Experience with patents or publications at top-tier peer-reviewed conferences or journals.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization.You are a hands-on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads.Key job responsibilities
You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).

- 5+ years of hands-on work in predictive modeling and analysis experience
- PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field
- Experience working in predictive modeling and analysis
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Experience programming in Java, C++, Python or related language
- Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment

- 10+ years of relevant work in industry or academia experience
- Knowledge of problem solving, algorithm design and complexity analysis
- Experience creating novel algorithms and advancing the state of the art
- Have peer-reviewed scientific contributions in premier journals and conferences

As a Partner Solution Architect at AWS, you will:
- Draw on your technical cloud and AI expertise to help partners develop joint solutions by leading substantive architectural discussions.
- Get hands-on building prototypes and demonstrations that communicate the functionality of AWS services.
The ideal candidate brings:
- An inclination to get hands-on with diverse technologies to deepen understanding and create working concepts.
- A broad and deep technical background that bolsters credibility when offering guidance to engineers and architects.
- Experience as a thought leader who can capture the attention of decision-makers through channels such as written publications, video, social media, and speaking engagements at industry conferences.30% travel is required.Key job responsibilities- Provide architectural guidance and recommendations on building applications efficiently and reliably on AWS.
- Influence solution providers in their development of strategies that will enable them to present their offering on AWS.
A day in the lifeDiverse ExperiencesAWS 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 GrowthWe’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

- Experience supporting ISV partners and programs
- Professional experience architecting/operating solutions built on AWS
- AWS Certification, eg. AWS Solutions Architect Associate
- Demonstrated experience developing enterprise application architectures to meet business requirements in complex environments
- Understanding of security, risk and compliance frameworks, disaster recovery, high availability architectures, hardware, operating systems and networking connectivity
- Large-scale systems integration involving on-premises technology and public cloud platform

Key job responsibilities
* Design, implementation, deployment and maintenance of innovative software solutions to transform service performance, availability, cost, and security.
* Use Java/Java based frameworks and software engineering best practices to ensure the standard of quality of all team deliverables.
* Write high quality distributed system software.
* Work in an agile development environment, where you are always working on the most important stuff.
* Mentor junior software development engineers

- 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

Responsibilities:
- Operate and maintain mechanical and electrical, mechanical, emergency generator, and fire/life safety equipment within the data center
- Troubleshoot of facility and rack-level events within internal SLAs
- Perform limited maintenance tasks to including filter changes, HVAC PMs, rack power installs, rack PDU, and rack ATS replacements
- Provide support to Data Center Operations technicians
- Perform root cause analysis of equipment failures
- Ensure all safety procedures are adhered to while performing work
- Work a 12 hour shift (rotating 3 and 4 day work weeks days or nights)
- Take daily operational readings of all mechanical and electrical equipment through routine rounds/log taking (temperatures, voltages, currents, etc.)
- Utilize internal CMMS to manage building workflows and spare part inventory
- Supervise contractors who perform servicing or preventive maintenance
- Respond to off hour emergency calls per on call rotation for any one of the region’s sites
- Fully comply with all physical security procedures and policies
- Drive innovation while reducing operational costs in the facilities
- Manipulate small wires and objects
- Walk job sites in uneven terrain
- Work at heights and from ladders
- Regularly lift and/or move up to 39 pounds; and participate in group lifts for 40 pounds or more
- Bend or twist the body into unusual positions while working
- Push or pull heavy objects into position
This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility.Key job responsibilities
- Operate and maintain mechanical and electrical, mechanical, emergency generator, and fire/life safety equipment within the data center
- Troubleshoot of facility and rack-level events within internal SLAs
- Perform limited maintenance tasks to including filter changes, HVAC PMs, rack power installs, rack PDU, and rack ATS replacements
- Provide support to Data Center Operations technicians
- Perform root cause analysis of equipment failures
- Ensure all safety procedures are adhered to while performing work
- Work a 12 hour shift (rotating 3 and 4 day work weeks days or nights)
- Take daily operational readings of all mechanical and electrical equipment through routine rounds/log taking (temperatures, voltages, currents, etc.)
- Utilize internal CMMS to manage building workflows and spare part inventory
- Supervise contractors who perform servicing or preventive maintenance
- Respond to off hour emergency calls per on call rotation for any one of the region’s sites
- Fully comply with all physical security procedures and policies
- Drive innovation while reducing operational costs in the facilities
- Manipulate small wires and objectsA day in the life
After an initial training period, you will support data center infrastructure operations on a shift schedule supporting our 24/7 staffing model. You will get information from your peer technicians who are ending shift, review the maintenance schedule for any tasks due that day, and then perform routine physical checks of our critical systems. After these rounds are complete, you and your shift partner will perform preventative maintenance, troubleshoot technical issues, take repair actions, and perform facility maintenance. You will also author technical procedures, work orders, and work on advanced qualifications and projects as your career progresses at AWS!Military Ratings/MOSs
Navy: AD, AE, AT, CE, CM, EM, EMN, ET, ETN, EW, FC, FT, MM, MMN, EN, STG, STS, UTArmy:15D, 15F, 15X, 15Y, 21P, 21Q, 21R, 31L, 35N, 52C, 52D, 52FMarines:612, 613, 1141, 1142, 1161, 6073, 6322, 6323, 6324, 6326, 6332, 6333, 6336, 6337Air Force: 3E531, 3E631, 3E032, 3E131, 3E331, 3E431, 2M033, 3D136, 3D137, 3E031
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.Amazon 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.

- 3+ years of electrical or mechanical, or 3+ years of data center or mission critical facilities (example: hospital, military facility, public safety facility, etc.) experience
- Experience with EPMS/SCADA/BMS Controls system software or hardware
- US government security clearance of top secret or above
- Current, active US Government Security Clearance of Top Secret with SCI eligibility or above

- Experience with BMS and EPMS control systems and data collection or trending
- Experience in Data Center Engineering Operations, with a deep understanding of electrical and mechanical data center infrastructure
- operating engineering license such as DC II, DC III, or equivalent
- Knowledge of network design and layout as well as low voltage (copper/ fiber) cabling
- Associate’s Degree in Electrical Engineering, Mechanical Engineering or relevant discipline