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We are looking for a top-notch Senior Software Engineer to help us tackle the toughest challenge in cybersecurity: turning endless amounts of data into crisp, easy, and actionable insights.

Responsibilities
Collaborate with a senior Agile Scrum team to design, develop, and maintain large-scale, cloud-based data processing pipelines and backend components. Work with cutting-edge technologies including Spark, Kubernetes, AWS, and modern data lakes like Databricks and Snowflake.
Design and implement scalable, cost-effective solutions that deliver high performance and are easy to maintain. Tackle complex, high-scale problems and drive performance optimization and cost-efficiency across the data pipeline.
Partner with engineers across our company R&D and Product teams to enhance our platform and provide capabilities for internal and external users to build data transformations and detection pipelines at scale.
Build robust monitoring and observability solutions to ensure full visibility across all stages of data processing.
Stay current with trends in big data processing and distributed computing. Contribute to code quality through regular reviews and adherence to best practices.

We are looking for a top-notch Senior Security Researcher, to resolve the toughest issue in cybersecurity: utilizing terabytes of data for detecting attacks, incident investigation and prioritizing threats.

Responsibilities
Threat Analysis and Research: Dive deep into terabytes of data to identify new attack vectors, emerging threats, and vulnerabilities across various attack surfaces. Stay up-to-date with the latest cybersecurity trends and contribute to the development of cutting-edge threat detection methodologies.
Incident Investigation: Utilize your technical prowess to investigate complex security incidents, analyzing data from diverse sources to uncover the root causes and methods of attack. Collaborate with incident response teams to develop effective strategies for containment and mitigation.
False Positive Reduction: Leverage your expertise in data analysis and correlation to fine-tune detection rules and algorithms, minimizing false positives and enhancing the accuracy of our platform's threat alerts.
Thought Leadership and Community Engagement: Drive thought leadership initiatives by creating technical blog posts, delivering webinars, and speaking at conferences to share insights, educate the community, and enhance the company's reputation in the cybersecurity landscape.
Be at the forefront of the our mission and work closely with our customers regarding cyber security investigations and incidents detected in their environments

We are looking for an energetic, detail-oriented individual to join our Data Center Engineering Operations Team. This committed group works to maintain the critical physical infrastructure that supports our Web Services. Specifically, this team works to ensure that the data center's MEP operates at 100% availability while maintaining first-class customer service to the teams and groups within the data centers.
The Data Center Engineering Operations Facility Engineer is responsible for operating and maintaining all electrical, mechanical, and fire/life safety equipment within the data center. This person serves as a technical resource to support us within its owned and operated data centers. Data center equipment that supports mission-critical servers must maintain better than 99.999% uptime. DCEO Facility Engineers are also tasked with driving innovation while reducing operational costs in the facilities.

DCEO Facility Engineers are our front line responders for hands-on electrical and mechanical equipment troubleshooting and operation. This equipment includes, but is not limited to, stand-by diesel generators, switchgear, UPSs, PDUs, AHUs, chillers, cooling towers, chemical treatment systems, pumps, motors, VFDs, and building automation systems.

Key job responsibilities:
- Operate and maintain mechanical and electrical equipment.
- Perform root cause analysis of equipment failures.
- Troubleshooting of facility and rack-level events within internal SLA.
- Ensure all safety procedures are adhered to while performing work.
- Able to work a 8/12 hour shift (rotating work days during the weeks).
- Take daily operational readings of all mechanical and electrical equipment.
- Utilize internal CMMS to manage building workflows.

Take part in the development of cutting-edge products within a disruptive system architecture. You will have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, and fast-paced environment. AWS provides a highly reliable, scalable, low-cost infrastructure platform in the cloud, which powers hundreds of thousands of businesses in 190 countries around the world. Annapurna Labs, as part of Amazon Web Services (AWS), is looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture.

Looking for exceptional senior engineers to join the top-tier team that is developing the next generation semiconductor platform, based on a revolutionary architecture. Engineers will participate in design and verification activities, working on the next generation of our products.

You are invited to take part in developing, integrating and deploying cutting-edge technologies, starting with identification and definition of project requirements, architecture, feature development, and collaboration with the different groups.
Your design will be integrated into the nitro SoC, on millions of servers worldwide. This is an opportunity to have a large-scale impact.
As a VLSI engineer and a member of the Nitro project, you will have an impact over the device through its entire lifecycle, from the product definition stage to mass production. You will work in close collaboration with multiple groups, including Architecture, Software, Verification, Backend, and DFT.

Key job responsibilities:
- Development of DFQR and DFT methodologies and BKMs.
- DFQR and DFT activities during the product design stage.
- Product quality & reliability validation (QRV) and ongoing quality & reliability monitoring (OQRM).
- Q&R engineering of volume manufacturing:
- yield monitoring, SPC;
- DOE, analysis, risk assessment and disposition of non-conformance events/non-conforming material.
- RMAs: failure analysis, disposition, reporting and follow-up (CAP and implementation).

We are looking for a talented and motivated Software Developer to join our team. In this role, you will be responsible for designing, developing, and maintaining high-quality software solutions, with a focus on C# and .NET technologies. The ideal candidate is passionate about technology, a team player, and eager to contribute to innovative projects.
Responsibilities:
Develop and maintain applications using C# and the .NET framework.
Collaborate with cross-functional teams to define, design, and ship new features.
Utilize Docker to containerize and deploy applications.
Contribute to mobile development projects using MAUI/Xamarin (a plus).
Troubleshoot and debug issues across the software stack.
Continuously learn and apply new technologies to improve software performance and user experience.

Are you a MS or PhD student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models, speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you!

We are looking for students interested in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems.

Key job responsibilities
As an Applied Science Intern, you will own the design and development of end-to-end systems. Youll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support our Science.

You will work closely with our scientists and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing our customer focused culture.

The ideal intern must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.