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Key job responsibilities

We are looking for exceptional student engineer with a passion to learn how the Cloud is working "behind the curtain".

You will learn about new features of the server, develop automation to qualify them and implement the tests into a Continuous-Integration (CI) environment that run in lab and in the actual AWS Cloud.

In this highly technical position, the Python Software Engineer student will learn scripting abilities in python to write tests to constantly check the functionality of the Graviton servers' software.
Experience coding in python and testing embedded systems while being able to leverage AI capabilities are key to success.

*Make sure to include a grade sheet with your CV, in a single PDF*

As a SCE Deal Lead, you will be responsible for managing the end to end Deal Cycle for strategic, large, complex or highly competitive deals. You will focus on earning trust with customers by creating actionable strategies, developing and shaping opportunities, and leading deal engagements through negotiations and closure. This highly visible role will own engagement with customer C-level executives, IT teams, and multiple lines of business to achieve business outcomes, increase the adoption of AWS services, and to enable private pricing, go-to-market, and other strategic relationships. You will work collaboratively to drive results by partnering with AWS customers, AWS field sales executives, and other internal stakeholders to empower our customers to evolve, address challenges, and to create innovative solutions.

Key job responsibilities
Lead negotiations and customer closure for strategic, large, complex or highly competitive deals.
Develop and shape the overall deal strategy and structure to meet customer business outcome and goals.
Contribute to developing our value proposition and solutions
Drive revenue growth and Cloud adoption.
Closely collaborate with key stakeholders across the organization for (EMEA) regional sales teams, and related regional and global stakeholders (Service Teams, Finance, Legal, etc.).
Act as a trusted advisor in the development of the commercial strategy of deals with AWS Field Sales Executives: partner in the execution of the sales cycle for strategic, complex, or highly competitive commercial opportunities
Inspire, influence, and facilitate alignment with internal stakeholders, experts, and other resources not under direct control, to remove obstacles and achieve desired business outcomes
Develop strategies for pricing and discounts; effectively communicate and identify deal blockers
Lead or support presentation of deal proposals to Customers

We are looking for a Head of Forward Deployed Engineering to lead the team that turns our platform into live production systems inside the largest enterprises. You will own a team of 10+ FDEs (and growing), the delivery bar they are held to, and the outcomes they ship.
This is a player-coach role. You set the standard, build the system that enforces it, and stay close enough to the work to review a flow design and call out what's wrong.
What You'll Do
Own delivery outcomes. On-time go-lives, production stability and client satisfaction all land on your desk. You manage by data: delivery metrics, quality signals, escalation rates and client feedback.
Raise the bar. Run a clear performance system with a defined FDE bar, 30-60-90 ramps for new hires, and honest evaluations. Coach the people who can grow. Make the hard calls on those who can't.
Run the operating rhythm. Own the flow review forum, the deployment status cadence, and the on-site schedule across clients.
Grow the team. Own the hiring pipe, from sourcing through a practical interview loop to onboarding that gets new FDEs to independent delivery in 90 days.
Stay in the field. Show up at key clients, especially around go-lives. Your credibility comes from being in the room, not above it.

our company builds the production-grade AI backbone for top-tier enterprises. We don't just wrap LLMs. Our platform autonomously handles mission-critical workflows, replacing operational friction with seamless, predictive experiences. We are a lean, engineering-driven company working directly with the biggest players in the market.
An FDE at our company is a customer-embedded engineer who owns the technical success of an AI deployment end to end. You don't advise and hand implementation to someone else. You are the implementation owner. You take an ambiguous business problem, break it into solvable technical components, build the solution on our platform, and stay with it until it works reliably in production.
What You'll Do
Own deployments end-to-end. From signed deal to production go-live and stabilization. No hand-offs.
Build production AI agents. Design and ship agent flows on our platform: prompt engineering, orchestration, edge cases, and the testing discipline that makes them production-grade.
Integrate into brownfield reality. Legacy systems, APIs, CRMs, telephony and customer infrastructure, while navigating security, compliance and incomplete requirements.
Debug in environments you don't control. When production misbehaves inside the customer's stack, you find it and fix it.
Push back with judgment. Challenge poor requirements, find creative alternatives, and align technical and business stakeholders behind them.
Be embedded with customers. On-site several days a week during active deployments, often as the most senior technical person in the room. On-site days carry dedicated compensation on top of your salary, and every production go-live carries a milestone bonus.

We are looking for a Principal Engineer who lives at the frontier of AI,
someone who can envision and build autonomous agents that reason about complex infrastructure, make intelligent decisions, and execute large-scale migrations with minimal human intervention. This is a rare opportunity to define the architecture of an AI-native platform from the ground up.

Key job responsibilities

Define and architect the technical vision for an Agentic AI migration platform, where autonomous agents discover, plan, and execute full data center exits.

Design and build multi-agent systems that leverage foundation models, chain-of-thought reasoning, and tool-use patterns to solve complex migration challenges.

Architect AI-powered network transformation capabilities, using generative models to analyze, replicate, and optimize enterprise network topologies.

Provide technical leadership across 4 scrum teams, instilling an AI-first engineering culture and ensuring architectural coherence across agent frameworks.

Drive innovation in agentic orchestration to continuously improve autonomy and accuracy for migration of servers, storage, networks, and applications.

Mentor senior engineers on AI-native development practices and cultivate a culture of rapid experimentation, spec-driven engineering, and high velocity releases on Brownfield projects.

BIRD Aerosystems is seeking a Senior Systems Engineer for our System of Systems project, focused on developing innovative aerospace solutions. You will lead systems integration efforts and ensure seamless functionality across various systems. Responsibilities:
* Own the systems engineering of a complex System of Systems (SoS), maintaining the overall system-level view across multiple interconnected systems and subsystems.
* Translate operational and customer needs into system architecture, clear and verifiable requirements, and system and interface specifications.
* Define and manage interfaces and cross-system dependencies across radar, electro-optic, software and hardware teams.
* Lead system integration, verification and validation activities, including system-level troubleshooting and resolution of technical issues, and participate in field integration and test campaigns (ground and live-fire test events).
* Identify system risks, interface gaps and integration challenges early, and drive technical solutions with the relevant engineering teams.
* Participate in and contribute to system design reviews (SRR, PDR, CDR) and technical trade-off studies from a System of Systems perspective.
* Serve as the technical focal point for system-level and cross-system topics, working closely with multidisciplinary engineering teams and reporting key progress, risks and decisions to the Head of Systems Engineering.

We are looking for a Product-Driven Senior Full Stack Engineer who wants to do more than build features from a backlog. In this role, you will own entire product surfaces end-to-end - from concept to production - shipping AI-powered features that users actually touch.
Youll work directly with LLMs, APIs, and modern full-stack technologies to build experiences that feel polished, fast, and intelligent.
If you care about how something works as much as that it works, and you want to shape products that matter, this role is for you.
What Youll Do
Own features end-to-end: Design, build, and ship complete product experiences - frontend, backend, and AI integration. No hand-offs.
Build with AI: Integrate LLMs and AI APIs into real product workflows, including prompt engineering, API orchestration, and intelligent UX patterns.
Ship with taste: Make decisions about UX, polish, and user experience. Attention to detail matters.
Move fast: Work in short cycles, ship to production, learn from real users, and iterate.
Make calls: Operate with autonomy and make decisions even when information is incomplete.

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.