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Were looking for a Principal Software Engineer to join our AI Catalyst Platform team as a key enabler for rapid AI prototyping and operational efficiency. This role focuses on providing technical and operational support to the AI Catalyst team, which explores upstream AI initiatives and drives innovation across the organization.

Youll help accelerate the development of AI prototypes by ensuring seamless platform integration, CI/CD pipelines, and other critical infrastructure to enable high-speed experimentation and iteration.

What youll do:

Platform Support and Optimization: Design and maintain scalable, secure, and efficient platforms to support AI Catalyst team initiatives, ensuring smooth integration of AI models and workflows.

Infrastructure Management: Provide expertise in Kubernetes and cloud platforms (GCP, AWS, Azure) for container orchestration, scalable deployments, and real-time operations.

Partner with the AI Catalyst team to identify bottlenecks, remove blockers, and optimize workflows for faster delivery of AI prototypes.

Technical Leadership: Lead the implementation of critical systems (APIs, orchestration, observability, deployment) to ensure speed, reliability, and maintainability.

Cross-Functional Collaboration: Work closely with engineering, product, and design teams to align technical priorities and drive impactful AI initiatives.

Mentorship: Guide and mentor engineers, fostering a culture of technical excellence, collaboration, and rapid execution.

Demonstrate proficiency in Kubernetes for container orchestration and scalable deployments.

Mentor senior engineers and contribute to a culture of technical excellence, velocity, and pragmatic decision-making.

Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.

Explore and experiment with emerging AI technologies from the open source communities relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.

As a Software Development Engineer (SDE) on the AWS Transform team, you'll be at the heart of designing, building core functions involve orchestrating hundreds or thousands of systems and legacy workloads, each with unique technical and operational constraints.

You will:

Drive end-to-end system design, implementation, and delivery.

Play a key technical leadership role on the team, aligning engineering efforts with customer needs.

Communicate effectively across teams to influence and guide architectural decisions.

Write high-quality, efficient, and secure code that sets an example for others.

Mentor teammates through design and code reviews and foster engineering best practices.

Continuously grow your technical depth and leadership impact as AWS scales.

We're seeking an exceptional Software Engineer to join our GenAI infrastructure team supporting Annapurna Labs' development teams. What makes this role unique is your direct impact on AI-powered innovation - you'll be building intelligent systems that drive the development of next-generation cloud technologies.
You'll work at the fascinating intersection of GenAI and cloud platform development, implementing automation solutions that directly enhance the productivity of our engineers. Unlike typical roles, you'll have the opportunity to influence both AI implementation and core architecture while collaborating with cloud technology experts.
The position offers rare exposure to latest cloud computing technology combined with the latest advances in artificial intelligence. You'll be part of a team that values technical excellence, working in an environment where your ideas can quickly transform from concept to reality.
In this role you will create solutions that directly shape the way we work. You'll develop smart automation systems, implement AI-driven tools and workflows and be part of AI transformation.

Key job responsibilities:
* Architect and deploy AI-powered solutions and AWS cloud services that transform development workflows.
* Lead technical innovation by driving architectural decisions and GenAI technology adoption.
* Champion AI transformation across engineering teams through education and hands-on implementation.
* Partner with elite cloud teams to identify opportunities and deliver advanced solutions.
* Ensure system excellence through participation in on-call rotations and reliability initiatives.

We are looking for a Server K2 card Engineering Vendor & Infra lead to be part of defining, shaping and integrating solutions to next generation of our cloud platforms. Our success depends on our world-class server infrastructure; were handling massive scale and rapid integration of emergent technologies.

Key job responsibilities:
- Own K2 Vendor management: own vendor engineering logistics, samples management (order/allocation), RFP/Awards/$$, monitoring, planning (w Supply Chain global org), actual on-ground visits to monitor health, 2nd source components needs mapping (into the NPI team), vendor qual planning (cards per vendors).
- Own Engineering infra: test servers, test-stations, as integrator and first line towards Servers ODM, Data Center Operations (DCO), Network Engineering and K2 Quality and Reliability team.
- Collaborate cross-functionally with hardware engineering, firmware, capacity planning, and infrastructure operations to align deployment readiness with business objectives.
- Lead continuous improvement initiatives across Vendor selection, Vendor Management, Engineering Samples & Development Servers Processes.

We are seeking an experienced engineer to work on distributed AI/ML systems. This role involves working on collective operations - the fundamental operations that enable AI to scale across multiple accelerators & servers. Most of our stack is C/C++ and relatively low level, so solid knowledge of Linux, kernels, and performant code is important. Experience with embedded systems is valued, and experience with high-speed networking or HPC interconnects is valued highly.

If you like solving hard problems, want to work with HPC and ML customers, iterate fast and deliver meaningful solutions at scale, then come join us! This truly is a role on the forefront of AI/ML, youll be working on features for the largest clusters, with the largest customers, for the largest AI models.

The Data Path HAL team is looking for an Embedded Software Engineer, to join us in building the next generation of networking products. Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, fast-paced environment.
Working in both pre-silicon and post-silicon activities defines the Data Path HAL team as a leading team in AWS software development.

We are looking for an Embedded Engineer to join us in building next generation platforms. At the platforms team, you'll be working on large and complicated boards, bringing our Silicon devices into the AWS fleet. You'll have the opportunity to shape our next gen platforms and work on the technologies that power the world's largest Cloud provider.

As a Data Center Commissioning Engineer (CxE), you will be part of highly creative, efficient team tasked with tackling fascinating and challenging problems building and supporting the operations of AWS owned data centres, Hybrid Colo's, Single Tennent Colo and Multi Tennent Colo builds . The AWS Commissioning team (ACx) understands, evaluates, defines and manages the expectations of construction quality in accordance to engineering designs to meet the customer requirements.

Key job responsibilities:
You will be responsible for supporting vendors, contractors and other teams involved in the construction and commissioning of various systems such as:

-Medium and low voltage power systems.
-Generators.
-UPS.
-HVAC.
-Chilled Water Systems.
-Building Management systems (BMS).
-Electrical Power Monitoring Systems (EPMS).
-Testing and balancing.
-Pumps and Hydronic systems.

The CxE shall provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. In addition, the CxE will be required to review component submittal packages, lead Factory Witness Testing (FWT), perform system level and integrated system testing. During commissioning, the CxE will continuously audit activities to ensure compliance with environmental, quality, and safety requirements. Additionally, the individual will be responsible for comprehensive weekly reporting of status of all ongoing projects and lessons learned to continually improve the quality of our program. This position will include coverage of multiple inflight projects.

We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.

We are revolutionizing suburban on-demand delivery from the skies up, literally. As the leading drone delivery company in the U.S., were scaling our operations across DallasFort Worth, bringing ultrafast, on-demand delivery to doorsteps via autonomous aircraft.
The VP of Engineering is a senior executive responsible for the end-to-end leadership of our hardware research, development, testing, and deployment functions, ensuring the companys drone systems meet the highest standards of safety, performance, and regulatory compliance. This role oversees the multidisciplinary engineering organizationincluding mechanical, electrical, and Embedded software teamswhile driving execution from concept design through FAA certification, manufacturing, and customer delivery.
Key Responsibilities
Hardware R&D Leadership: Direct and manage the mechanical, electrical, and Embedded engineering teams to design, prototype, and develop next-generation drone hardware. Establish clear development roadmaps, enforce engineering best practices, and ensure alignment with company product and business goals. Systems Engineering & Integration: Lead the systems engineering function, ensuring robust architecture, integration, and validation of all drone subsystems. Oversee end-to-end testing protocols, reliability assessments, and performance optimization across components and platforms. Regulatory Testing & FAA Certification: Drive the Companys streamlined FAA Type Certification (TC) process, including G-1 Issue Papers, G-3 Compliance Checklists, and related validation activities. Act as the technical liaison with regulatory authorities to secure approvals and maintain compliance. Manufacturing, Maintenance & Supply Chain: Oversee drone manufacturing and maintenance operations, from prototype builds through scaled production. Manage supply chain strategy, vendor relationships, and quality control to ensure efficient, cost-effective, and reliable delivery. Electronics Design & NPI: Lead the electronics design and manufacturing lifecycle, from PCB and avionics development through New Product Introduction (NPI). Ensure seamless transition from R&D to volume production with an emphasis on manufacturability and long-term supportability. Customer Deployment & Technical Support : Support customer-facing deployment of drone systems, ensuring that engineering support and technical documentation enable smooth operations in the field. Support the technical US organization, providing expertise and solutions for customer success. Executive Leadership: Partner with the CEO, COO, and VP of Finance to define engineering priorities, budgets, and resources. Build and mentor a high-performing engineering organization that is innovative, disciplined, and accountable.

GeoEdge is a global leader in ad security and quality solutions, trusted by top publishers, app developers, and ad platforms worldwide. Our mission is to keep the digital advertising ecosystem safe and transparent, ensuring users everywhere enjoy a clean and trustworthy online experience. We’re expanding our Support Team and looking for a Support Engineer with a strong technical mindset, excellent communication skills, and a passion for solving problems and helping customers succeed. As a Support Engineer, you will act as the technical point of contact for our clients - investigating complex issues, managing escalations, and working closely with our R&D and Product teams. You will be part of a friendly and professional team based in Tel Aviv, supporting customers around the world. Responsibilities
* Resolve incoming client issues via email, chat, and Zoom/Meet within defined Service Level Agreements (SLAs).
* Investigate and analyze client requests by utilizing available tools, databases, and logs to identify root causes and recurring patterns.
* Manage and prioritize support tickets using Jira (or similar systems), focusing on the most impactful cases and ensuring timely updates to customers.
* Collaborate closely with R&D and Product teams to troubleshoot and resolve complex or escalated issues.
* Escalate critical or complex cases to Tier 3/R&D teams with clear and detailed documentation.
* Maintain accurate records of issue statuses and provide updates to clients and management when necessary.
* Contribute to internal documentation, knowledge bases, and best practices to enhance Support processes.
* Uphold customer service guidelines and ensure a high level of customer satisfaction, representing GeoEdge’s customer-first approach.
* Participate in weekly stand-up meetings and report on open cases and progress.