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We are looking for a Solutions Engineer to join our growing Earth Observation, Tracking, Telemetry & Command (TT&C), New Space and Integrated Solutions business line, working closely with our Sales and Engineering teams.

In this role, you will act as a technical subject matter expert (SME), leading customer engagements, defining system architecture, preparing proposals, and delivering technical presentations.
You will leverage your skills and expertise to tailor solutions that meet mission-critical customer requirements in the ground systems and integrated solutions sectors.

This is a key technical-commercial position, directly influencing the companys ability to win new business and expand into emerging markets.

Responsibilities
Act as a technical authority for multidisciplinary systems involving mechanics, electronics, software, and RF communication
Lead technical engagements with prospects and customers: requirements gathering, solution design, system architecture, block diagram development, and technical risk assessment
Prepare and deliver high-quality proposals:
Analyze customer specifications, SOWs, and RFPs
Develop competitive solution concepts, costing, and technical documentation
Perform technical risk analysis and competition analysis
Work with the Sales team by conducting technical presentations and demonstrations that articulate the features and advantages of company solutions
Collaborate with subcontractors, third-party partners, and internal stakeholders (engineering, finance, operations, executive team) to develop winning solutions
Maintain deep knowledge of the companys product portfolio, new technologies, and evolving industry trends
Support continuous improvement of proposal generation processes, tools, templates, and best practices
Perform Link Budget Analysis and basic RF performance assessments as part of solution definition
Mentor and support internal sales associates to enhance their technical understanding and customer engagement capabilities
Participate in product strategy discussions by providing technical market feedback to influence future developments

Review of Contract ,Customer SOW and SPEC requirements to ensure compliance of design and production.
Approve gates review at R&D
PLCM (Project Life Cycle Management) - process control, full partnership in project management during the development, testing, production, customer delivery and customer support phases throughout the product life
Identifying regulatory Gaps in new and carrent projects
Perform Internal and External Audits
QA presence in R&D process (capacity) and ability to prevent errors in design
Follow up after R&D corrective and preventive actions and Improvement Plans
Transfer products from development to NPI and serial production (QA activities)
Review and approval ECO / MCO / ATP/ATR, Waiver relate to R&D , ENG
Writing QA procedures
FRACAS Management
Quality Assurance Program Plan (QAPP) and the Quality Allocation Tasks for the program.
Customer complince - relate to NPI , Pre production , design errors
Perform Quarterly data analysis for QBR

Are you a scientist interested in pushing the state of the art in Information Retrieval, Large Language Models and Recommendation Systems? Are you interested in innovating on behalf of millions of customers, helping them accomplish their every day goals? Do you wish you had access to large datasets and tremendous computational resources? Do you want to join a team of capable scientist and engineers, building the future of e-commerce? Answer yes to any of these questions, and you will be a great fit for our team.

Our team is part of our Personalization organization, a high-performing group that leverages our expertise in machine learning, generative AI, large-scale data systems, and user experience design to deliver the best shopping experiences for our customers. Our team is building next-generation personalization systems powered by Large Language Models. We are tackling novel research challenges to help customers discover products they'll love - in our our scale and latency requirements. We are a team uniquely placed within us, to have a direct window of opportunity to influence how customers will think about their shopping journey in the future.

As an Applied Science Manager, you will lead a team of scientists working at the frontier of LLM-based personalization. You will set the technical vision, drive the research agenda, and ensure your team delivers production-ready solutions. You will hire, mentor, and develop world-class scientists while fostering a culture of innovation and scientific rigor. You will partner closely with engineering and product teams to translate ambitious research into customer-facing impact, and represent your team's work to senior leadership.

Overall responsibility of the development of complex Airborne Communication systems.
Lead the System level architecture of complex systems, and be an expert in the System, Software and Hardware specifications.
Coordinating internal R&D resources and third parties/vendors for the flawless execution of projects
Ensure that all projects are delivered on-time, within scope and within development budget
Matrix structure management of Hardware, Software, Mechanics and Verification teams for several projects in parallel - different requirements, use cases and customers.
Lead an internal and external design reviews, pre and post sales activities with various customers.

End to end boards design. Starting from the components selection and evaluation, schematic design, thermal considerations, mechanical constraints, layout design, production supervision, bring-up on lab, including all the relevant document writing and conducting the design reviews needed until the product is finished. Leading products from the definition until their release and supporting production when needed.

We are looking for talented engineers to join our Virtual Platforms team. Virtual platforms play a crucial role in accelerating the development process by enabling early software development, system-level testing, and architectural exploration without the constraints of physical prototypes.

Key job responsibilities
As a Virtual Platform Engineer, you will:
Create and maintain Virtual Platform environments for software development and system-level validation.
Optimize complex hardware-software interactions.
Drive collaboration across all development teams with a strong customer-obsessed approach.

The Startup Solutions Architecture team is dedicated to working with startup companies as they build their businesses. Were here to help them deploy scalable, secure, reliable, performant, sustainable and efficient architectures - and do that spending as little time and money as possible.

In this role, youll work directly with a variety of interesting customers in various industries which could include AI/ML, HCLS, FinTech, ClimateTech, HCLS and others, and help them make the best (and sometimes the most pragmatic) technical decisions along the way. Youll have a chance to build enduring relationships with these companies, their founders, and establish yourself as a trusted advisor.

Key job responsibilities
Help a diverse range of startups to adopt the right architecture at each part of their lifecycle.
Support startups in architecting scalable, reliable and secure solutions
Support adoption of a broad range of AWS services to deliver business value and accelerate growth/
Support the evolution and roadmap of the AWS platform and services, connecting our engineering teams with our customers for feedback/
Establish and build technical relationships within the startup ecosystem, including accelerators, incubators and VCs/
Develop startup specific technical content, such as blog posts, sample code and solutions, to assist customers solve technical problems and reduce time-to-market.

Overall responsibility for precision tracking technical project management at R&D including planning and monitoring of all R&D activities, planning and monitoring of project R&D budget (material and hours), lead of technical activities with the customer including design reviews, acceptance testing and system assimilation.
Overall responsibility of the system level architecture of complex systems
Overall responsibility for System, Software and Hardware level specifications and requirements.
Overall responsibility and active participation in the Integration and Proof of Design phases.
Overall responsibility for electrical connectivity design between LRUs

We are hiring a hands-on Software Development Manager for the team that owns the network stack for EC2 distributed AI/ML systems. The team develops support for a variety of frameworks and communication libraries including NCCL, NVSHMEM, NIXL, NCCL GIN, Perplexity kernels and others.

We are seeking an experienced engineering manager for a mid-sized team, with multiple years of hands-on experience in systems programming, HW/SW co-design, and familiarity with networking (HPC networking preferred).

Experience with the NVIDIA stack, ML applications, and frameworks will be highly regarded. You'll be leading senior, mid-level, and junior SDEs and directing work to ensure the team delivers functions and features required for the latest and largest ML workloads.

As a trusted advisor youll have a direct impact in helping our customers gain the most value from cloud technology. Youll craft and execute strategies to drive our customers adoption and use of AWS services. This includes a range of products including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT and many more.
Our Technical Account Managers partner with some of the most iconic businesses in the country. These range from rising startups building their business from scratch through to large enterprises going through significant transformation. Youll provide advice on architecture, support strategy, project, and launch planning as well as ongoing operational issues.

Key job responsibilities
* Youll build solutions, provide technical guidance and advocate for the customer.
* Ensure our environments remain operationally healthy whilst reducing cost and complexity.
* Develop trusting relationships with customers, understanding their business needs and technical challenges.
* Using your technical acumen and customer obsession, youll drive technical discussions regarding incidents, trade-offs, and risk management.
* Consult with a range of partners from developers through to C-suite executives.
* Collaborate with AWS Solutions Architects, Business Developers, Professional Services Consultants, and Sales Account Managers.
* With a bias for action, you'll proactively find opportunities for customers to gain additional value from us.
* Provide detailed reviews of service disruptions, monthly & quarterly metrics, detailed pre-launch planning.
* Solve a variety of problems across different customers as they migrate their workloads to the cloud.
* Uplift customer capabilities by running workshops, brown bag sessions, etc.

In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Senior Software Development Engineer who leads through technical depth and sound judgment. Someone who owns team-level architecture, provides system-wide design guidance, and brings perspective on both current and future technology choices. You take on customer problems where the technological strategy is not yet defined, and you drive productive discussions to align teams on the best path forward. You dont just deliver high-quality software yourself - you set the standard that others follow. You actively mentor multiple engineers, drive adoption of engineering best practices, and ensure your team has strong operational foundations. You make the team permanently stronger, not dependent on your presence. When the right solution isnt technical - when its a process change, a culture shift, or a staffing decision - you recognize that and act accordingly.

Key job responsibilities
- Own team architecture of personalized recommendation system operating in our scale.
- Lead the design and delivery of cross-teams projects end-to-end, with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define technical roadmap and experiences based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and drive measurement strategies including analytics events and experiment configurations to track business and technical metrics.
- Create clarity from ambiguity and make sound technical decisions in a problem space where established patterns don't apply.
- Drive adoption of engineering best practices through exemplary personal coding practices.
- Proactively simplify existing systems and resolve endemic, root-cause problems.

Key job responsibilities
You will be the go to engineering resource for your region when technical advice is needed, and will use your subject matter expertise and engage with diverse teams to:
Perform design and equipment submittal review for new Data Centers in your region.
Troubleshoot, conduct Root Cause Analysis (RCA) and create Corrective Action (CA) documentation for site/equipment failures.
Directly support operational issues with ad-hoc training, complex operating procedure reviews, including critical equipment, and event support.
Own the conceptual design for existing data center upgrades and design-solutions, which add capacity, improve availability, increase efficiency and sustainability.
Interface with internal data center operations team, data center design engineering team, server hardware team, environmental health and safety team to promote standards that maintain consistency and reliability in services delivered.
Work on concurrent projects, sometimes in multiple geographical regions.
Initiate and lead engineering audits including on-site visits within our data centers. Produce reports outlining risks with recommended mitigations and remediation.
Act as resident engineer during new construction projects. Support construction, commissioning, and turnover.

In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint.

Key job responsibilities
- Design, build, test, and operate production AI features used by multiple teams and operating in our scale.
- Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention.
- Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply.

In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint.

Key job responsibilities
- Design, build, test, and operate production AI features used by multiple teams and operating at our scale.
- Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention.
- Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply.

Were searching for sharp engineers to lead cutting edge products, re:inventing super computers and deploy our new SRD (Scalable Reliable Datagram) network protocol into the largest public cloud on the planet! starting from the identification and definition of project requirement, defining SW and HW interfaces, feature development and deployment, to operation support on a very large scale.