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We are a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. We are seeking an experienced Junior Industrial Engineer to join our dynamic Project Management team in the production department. This is a fantastic opportunity to start your career in a fast-paced environment where youll contribute to optimizing processes and managing projects that drive operational excellence.
Responsibilities:
* Assist in planning, executing, and monitoring production-related projects.
* Analyze workflows and identify areas for improvement to enhance efficiency and productivity.
* Support cross-functional teams in implementing process improvements and solutions.
* Prepare reports, presentations, and project documentation.
* Use data -driven insights to support decision-making and problem-solving.

We seek a DevOps Engineer for the Machine Learning (ML) Infrastructure team to build the tools that are used to guarantee top performance of AWS ML and High Performance Computing (HPC) technologies developed by our organization. Bring your exceptional knowledge of CI/CD automation, ML and HPC benchmarks and applications to bear on the cutting-edge software we develop. Join us as we expand the AWS offerings for AI, including Trainium, Neuron and the Elastic Fabric Adapter (EFA).
Key job responsibilities
Be the lead engineer on a team that builds and maintains the infrastructure that monitors and reports on functionality and performance of massive testing workloads run at scale. Use internal CI/CD tools, Linux, and public AWS products to automate the delivery of our software to customers, saving developer time. Write Python code that effortlessly spools up large clusters and runs benchmarks and applications for ML and HPC workloads. Use AWS Managed Grafana, Quicksight, OpenSeaerch and Athena to digest the massive amount of performance data generated by these workloads and create dashboards for developers and stakeholders. Invent automatic mechanisms to alert developers to functional and performance regressions so they never reach customers. Manage the complexity of infrastructure that covers many instance types, software stacks, Linux operating systems, cutting-edge releases and make it easy to evolve.
You will ensure all infrastructure setup is code (IaC), reviewed and committed to automated pipelines. You find innovative ways to schedule work using Jenkins, supporting the development team while keeping cluster costs down.
You review dashboard and automation results and triage failures, you introduce new tests and platforms to increase the automation coverage. You create reports and status of the CI/CD system to stakeholders
A day in the life:
Diverse Experiences
We value 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, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying.

We are looking for a Senior Data Scientist to join the Annapurna System team and develop solutions that raise the quality bar for AWS data centers and directly improve customer experience.
This position provides the opportunity to be at the forefront of large-scale data center technologies, working on some of the most difficult problems in the industry, with the industrys finest developers and business leaders, to shape data center operation and impact future products.
What you will do:
As Data Scientist, you will analyze massive data sets of technical and business data, identify aspects/areas to improve, define/implement measurement metrics, build models to predict issues and optimize operational-service, and work with various stakeholders to drive gradual improvements. You will work closely with internal teams to extract/mine information from our existing systems, in order to create new analyses, build analytical products, and drive BIE-related observations/mindset to the technical domains.
You will be the expert for this new domain, defining tools, methodology, and goals.
You will interface and interact with various engineering teams related to the development and operation of hardware, software, infrastructure, and services. You will understand their concerns and pain, and you will lead analysis, driving tools/projects, proposing improvements, and monitoring the results.
As a domain expert you will be independent, self-managed, and biased for delivering results. You will drive the implementation of efficient, systematic, automated, scaling analytical tools through hands-on work and close interactions with the hardware/software domains. You will be working in a fast-pace environment that encourages collaborative and creative problem solving, enables taking calculated risks, and welcomes constructive peer review.
We are looking for an expert with a flair for recognizing trends and patterns, while correlating it to business needs and driving practical actions. If you have an uncanny ability to decipher the exact policy/mechanism/solution to address a challenge and the ability to influence others by using hard data (and some tact), then we are looking for you!

Required Verification Engineer
We are looking for talented engineers to join the Pre-silicon Verification team and help us technically lead the challenges of the next decade, developing a semiconductor platform based on revolutionary architecture, and taking part in the development of cutting-edge products within a disruptive system architecture.
Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, and fast-paced environment.

Required Physical Design Expert
Key job responsibilities:
Daily involvement in all aspects of physical design chip development (RTL2GDS), including floorplanning, synthesis, clock tree synthesis, place and route, static timing analysis, power and noise analysis, physical verification testing, and equivalence checks.
Being actively engaged in design-backend convergence aspects and defining timing constraints.
Taking full end-to-end responsibility for the physical design of macros and clusters level, according to specifications, under challenging constraints, with focus on optimizing power, area, and performance.
Participation in the development of design flows, using a variety of EDA tools and vendors such as Synopsis and Cadence.
Engaged in defining implementation and signoff methodologies.