דרושים Sr Applied Scientist Far Frontier Ai & Robotics ב-אמזון ב-United States, San Francisco

Key job responsibilities
To Succeed In This Role, You Will Be
A hiring genius – our business is growing, fast. With your help, we will scale the engineering organization to meet the demands of our customers. You may find yourself wandering the streets wearing a “hiring” sandwich-board. More likely, you will find yourself traveling the world seeking top tech talent from every corner of the globe. You will find yourself organizing tech talks and spreading the word that opportunity is here to stay.
A technical wizard – reliability is core to our brand. Our code is deployed to millions of servers around the world. Our services are built to survive large-scale hardware and software failures. Our customers quite literally bet their businesses on our technology. They expect the best, and we aim to deliver nothing less. You will find yourself pushing the envelope on designing systems of scale. You will find yourself working amongst world’s leading industry experts on game-changing technology. You will find yourself humbled every day by what you learn.

- 3+ years of engineering team management experience
- 7+ years of engineering experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Your day will be filled with exciting challenges and opportunities to showcase your technical expertise. You’ll engage with Amazonians across various teams, owning and recognizing their unique IT needs and provide personalized high-quality support. You'll be a trusted advisor, a problem-solver, taking initiative to diagnose, troubleshoot and resolve a wide variety of specialized hardware and software issues implementing successful solutions. Our Engineers guide and empower technical and non-technical Amazonians through the ever-evolving digital landscape implementing solutions that fit their needs.Key job responsibilities
- Deliver on-site, high quality, hands-on support diagnosing, troubleshooting and resolving issues successfully, evaluating log files to determine the health of systems, software and hardware
- Assist with activities to triage and escalate system or network outages to reduce downtime
- Understand and execute change management activities in a high availability environment
- Participate with partner teams and vendors on continuous improvement projects, defining requirements and managing execution to deliver operational excellence and value
- Effectively manage and oversee IT asset inventories- Continuously expand skills, learning the latest technologies and maintaining knowledge of IT policies to provide technically accurate solutions
- Occasional travel required based on the needs of the business
- Participate in 24/7 on-call duty required for isolated high-severity incidents, serving as escalation point outside regular hours
A day in the life
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) PlanLearn more about our benefits here:

- High school or equivalent diploma
- 2+ years of corporate setting Windows, Mac or Linux Operating systems support experience
- 2+ years of supporting and maintaining a corporate network environment experience
- 2+ years of troubleshooting in a multi-user high availability environment experience
- 2+ years of PC repair, troubleshooting, deployment and liquidation experience
- Excellent customer facing skills

- Bachelor's degree
- CompTIA A+, CompTIA Network+, Cisco/CCNA, Linux (Redhat), Microsoft hardware (installation), AWS, or other industry relevant certifications
- Experience supporting video conference and teleconference equipment
- Experience in Active Directory and Windows Server backup solutions
- Ability to write simple scripts in an administrative language
- Strong analytical skills with demonstrated problem solving abilities
- Proven ability to develop clear, concise change management and standard operating procedure (SOP) documentation

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
* Design, build, and deploy machine learning models, frameworks, and data pipelines
* Optimize ML training, inference, and evaluation workflows for reliability and performance
* Evaluate and improve ML model performance and metrics
* Develop tools and infrastructure to enhance ML development productivity

* 3+ years experience building and deploying machine learning systems
* Experience with ML frameworks (e.g. PyTorch, TensorFlow) and ML orchestration tools
* Proven track record of improving ML systems, performance, and workflows

* Experience building and optimizing production-grade AI systems, e.g., for self-driving, simulation, or LLM applications
* Willingness to step outside typical role boundaries to get things done — every member of technical staff is expected to write code, design experiments, and interpret results
* Capacity to work autonomously and with a small team to drive research progressPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

interviewing tips on Instagram, and discover projects we're solving on our Blog.About the RoleYou will report to the Applied Science Manager on the Community Discovery Team.You can work in San Francisco, CA or Seattle, WA.You Will- Develop ML algorithms for recommendations, ranking and search problems that can improve discovery on Twitch.

- BS or MS or PhD in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, with relevant industry experience. We welcome applicants with non-traditional backgrounds. We welcome applicants with non-traditional backgrounds.
- Hands-on experience with predictive modeling and analysis to solve real-world problems.
- Proficiency with Python and Deep Learning Frameworks such as PyTorch or Tensorflow, basic proficiency with SQL.

- MS/PhD in relevant fields or a Degree with a specialization in Machine Learning.
- Experience shipping your models to production.
- 1+ years of experience working in recommendations or search.
- Papers in top ML conferences of journals such as Neurips, Recsys, ICLR, ICML etc.
- Familiarity with Twitch, its business, and its community.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About the Role:
You Will:
- Build and maintain the services that power Twitch’s video platform- Contribute positively to Twitch’s engineering culture

- 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 professional software development or equivalent expertise.
- B.A. or B.S. in Computer Science or a related discipline, or equivalent years of experience
- Experience building backend services at scale with technologies such as Golang and AWS
- Experience serving as a technical leader of a team of software engineers

- Familiarity with video delivery concepts and systems
- Familiarity with AWS’ Interactive Video Service
- Familiarity with Twitch, gaming, and/or streaming on TwitchPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.