דרושים Applied Scientist Selling Partner Support Engagement Science ב-אמזון ב-Canada, Vancouver

Key job responsibilities
- Provide support of incoming tickets, including extensive troubleshooting tasks, with responsibilities covering multiple products, features and services
- Work on operations and maintenance driven coding projects, primarily in Java
- Software deployment support in staging and production environments
- Develop tools to aid operations and maintenance

- 2+ years of software development, or 2+ years of technical support experience
- Experience scripting in modern program languages
- Experience troubleshooting and debugging technical systems

- Knowledge of web services, distributed systems, and web application development
- Experience troubleshooting & maintaining hardware & software RAID
- Experience with REST web services, XML, JSON

A day in the life
Diverse 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.About AWSUtility Computing (UC)Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our conferences, inspire us to never stop embracing our uniqueness.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 relevant systems engineering, or systems administration experience using Operating Systems, networking, and storage systems
- 5+ years of Systems Engineering, DevOps, Site Reliability Engineering (SRE) or Enterprise Production experience in Windows / Linux or similar environments
- 3+ years' experience operating in a 24/7 production environment.
- 3+ years experience with a scripting language: Perl, Python, Ruby, PowerShell or similar languages

- Bachelor's Degree in Computer Information Systems, Computer Engineering or a related discipline
- 6+ years of networking experience
- 6+ years' experience with support procedures and methodologies for production computing environments.
- Development of systems automation in a scripting language: Perl, Python, Ruby, PowerShell or similar languages
- Experience with Agile engineering practices (Scrum, continuous delivery, etc)

Job summaryThe Role:
As a Sr. DSP and Wireless Systems Engineer working in the Digital RF Systems team, you will be responsible for DSP architecture definition, design and simulation of DSP blocks in wireless communication SOCs that are used in Kuiper phased array systems. You will be implementing end-to-end system models including fixed point DSP blocks, RF impairments of the radio, phased array antenna and satellite channel. You will be involved in novel techniques to estimate and correct RF impairments that will be implemented in HW and FW. Based on the system level constraints such as low power and cost, you will develop optimized solutions to support high throughput for our customers.As a Sr. DSP Engineer, you will engage with an experienced cross-disciplinary staff to conceive and design innovative product solutions. You will work closely with internal inter-disciplinary teams such as ASIC/RFIC designers, FW/SW engineers, design verification engineers. You will drive key aspects of the silicon design as well as the entire RF line-up. You will support validation of the silicon in the lab and optimize RF performance via algorithms.In this role you will:
· Design and model DSP algorithms such as beamforming, MIMO, DPD, CFR, digital cancellation schemes and RF impairment compensation
· Model RF transceivers impairments and develop RF impairment compensation algorithms. Develop and optimize HW/SW calibration algorithms for RF SOC and phased array systems
. Architect HW and FW partitioning of calibration algorithms
. Develop detailed test plans and test procedures for pre-silicon, help with design verification as well as post silicon validation, integration and characterization of RF Wireless SOC performance
Export Control Requirement:

· 7+ years of relevant experience in wireless DSP/RF systems engineering (LTE, 5G-NR, WiFi 802.11, BLE)
. In depth knowledge of DSP design for low power consumption ASIC
. Experience with MATLAB, Python and/or C/C++ for fixed point DSP algorithm development, modeling and simulation
. Solid understanding of OFDM, AGC, beamforming algorithms, MIMO, channel estimation, equalization techniques
. Solid understanding of RF blocks and components
. Experience in RF impairment estimation and compensation techniques
. Working knowledge of FW implementation of various DSP algorithms
. Experience in using lab equipment, bring-up and validation of chip
· MSEE/PhD is highly preferred with emphasis on digital signal processing and wireless communication systems

. Strong background in Communication Theory (signal estimation and detection, AGC, channel estimation), OFDM, MIMO, Digital/Wireless Communication Systems and engineering
. Extensive experience in designing low power/area digital signal processing blocks for Wireless RF SOCs
. Excellent understanding of RF architectures and blocks used in the Wireless SOCs
· MATLAB, Python, C++ experience with emphasis on fixed point modeling of DSP blocks, RF impairment modeling, RF calibration algorithm development, system performance simulations (EVM, ACRL, OOB emissions)
. Experience with bit-accurate modeling to match RTL implementations, emulations, FW development
. Familiarity with phased array systems and phased array performance optimization techniques
. Experience in silicon bring-up in the lab and using lab equipment such as vector spectrum analyzer, signal generators, high speed scopes and logic analyzers

Key job responsibilities
- Provide support of incoming tickets, including extensive troubleshooting tasks, with responsibilities covering multiple products, features and services
- Work on operations and maintenance driven coding projects, primarily in Java
- Software deployment support in staging and production environments
- Develop tools to aid operations and maintenance

- 4+ years of software development, or 4+ years of technical support experience
- Experience scripting in modern program languages
- Experience troubleshooting and debugging technical systems
- Experience in agile/scrum or related collaborative workflow
- Experience troubleshooting and documenting findings

- Knowledge of distributed applications/enterprise applications
- Knowledge of UNIX/Linux operating system
- Experience analyzing and troubleshooting RESTful web API calls

Key job responsibilities
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

- 5+ years of developing, negotiating and executing business agreements experience
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience selling enterprise software or cloud-based applications
- Experience presenting to both technical and non-technical executive audiences
- Bachelor's degree, or experience in an industry role

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities- Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
- Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
- Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
- Design and code the right solutions starting with broadly defined problems.
- Work in an agile environment to deliver high-quality software.

- 3+ years of non-internship professional software development experience
- 2+ 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

- 3+ 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

As an Sr. Applied Scientist, you'll work alongside domain experts, engineers, and other scientists to understand business problems, propose scientific solutions, and deploy them to production. You'll work on scientific initiatives for accelerating reconciliation, standardization, and onboarding. This includes:
- Leveraging GenAI/LLMs to build agentic solutions to accelerate accounting-related research/tasks and produce proactive insights.
- Building AI trust and safety in the financial domain.
- Establishing scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation, and serving.
- Developing training/evaluation datasets for model fine-tuning.
You will need to have a start-up like mindset, as you will be working an in a highly iterative and collaborative environment with SDEs, Product Managers, and Accounting stakeholders to propose ideas, experiment, and scale rapidly. You should have a keen eye for what a good user experience should look like, possess excellent written and verbal communication, and have a keen interest in learning about accounting and financial processes.

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.