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As a Senior Backend Engineer, you will be responsible for architecting and building the production systems that bring LLMs to life at scale. You will lead the design and development of robust infrastructure and high-scale services, ensuring our AI capabilities are integrated into scalable, resilient, and performant backend architectures.

In this role, you will:

Design and implement high-performance backend services and APIs that power Paradoxs core AI products.

Bridge the gap between AI research and production-grade software, focusing on latency, reliability, and observability.

Promote engineering standards through rigorous code reviews, architectural design, and best practices in distributed systems.

Design and implement LLM evaluation frameworks to assess and integrate new AI models into real-world production flows.

Deeply understand product challenges to make intelligent and efficient software-building decisions.

About the Role

Design, build, and improve ML-powered software products that deliver real value to users.

Explore, analyze, and model large-scale textual data to support accurate predictions, classification, and decision-making.

Develop and evaluate NLP and machine learning models, using LLMs and generative AI techniques when relevant.

Move quickly from data analysis and experimentation to prototypes, production-ready code, and integration with other services.

Own the quality, performance, and ongoing improvement of your work through metrics, evaluation, and data-driven iteration.

Collaborate with product, engineering, and research partners while learning from a strong technical team.

Were looking for exceptional individuals to join our team and to partner in creating a set of consumer grade software experiences. We collaborate constantly and continually look for ways to work better together.

This team operate like an innovative startup within Workday: fast-moving, highly collaborative, and deeply technical, while still benefiting from Workdays scale and stability. Youll partner closely with product, engineering, data labeling, design, and go-to-market teams to ship consumer-grade, AI-first experiences that help recruiters and hiring teams spend more time with people and less time with software.

As an AI Product Manager on the Paradox team, you will own the product lifecycle for core LLM-powered capabilities across candidate and recruiter experiences.

Youll drive product discovery, define requirements, and partner with engineering and data science from design through launch, iteration, and ongoing optimization.

One key part of this role is hands-on AI evaluation. You will regularly review LLM outputs and AI conversation logs, perform data labeling, and dig into traces to identify gaps, edge cases, and failure modes. Youll translate these insights into concrete changes to prompts, data, workflows, and system logic that measurably improve quality, reliability, and user experience.

You will:

Own AI-driven features, including candidate and recruiter-facing experiences.

Define product vision, goals, and roadmaps for your areas, balancing user value, technical feasibility, and business impact.

Lead rigorous evaluation of LLM behavior: review outputs, label data, and partner with data science to refine prompts, metrics, and evaluation strategies.

Collaborate closely with engineering to design scalable, robust solutions and iterate quickly on experiments.

Synthesize input from customers, internal stakeholders, and the market into clear, prioritized product requirements.

Communicate progress, tradeoffs, and learnings across a global, cross-functional set of partners, guiding teams toward high-impact outcomes.

We are looking for an experienced Software Team Lead to lead a team developing high-performance, mission-critical software for next-generation cellular networks.

In this role, you will combine technical leadership, people leadership, and hands-on development, driving the design and delivery of scalable solutions used by leading mobile operators worldwide. You will play a key role in shaping the architecture of our next-generation monitoring and analytics platform while mentoring engineers and fostering a culture of technical excellence, ownership, and innovation.

Working closely with architects, product managers, and cross-functional R&D teams, you will influence technical direction and lead the development of complex systems across 4G/5G, Radio, and Core Network technologies.


Responsibilities

Lead, mentor, and develop a team of software engineers, supporting their professional growth and technical excellence.

Drive architectural and technical design decisions for high-scale, performance-critical systems.

Take end-to-end ownership of projects, from design and implementation through deployment and continuous improvement.

Remain deeply involved in hands-on development, debugging, performance optimization, and solving complex technical challenges.

Collaborate closely with Product Management, Architects, and R&D teams to define technical roadmaps and deliver impactful solutions.

Build highly scalable, reliable, and efficient software infrastructure supporting next-generation cellular networks.

Promote engineering best practices, code quality, design reviews, and technical innovation across the team.

Lead cross-functional initiatives and drive alignment between multiple stakeholders and engineering teams.

We are looking for talented engineers to help us develop a semiconductor platform based on revolutionary architecture.
Take 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, within a dynamic, open, fast-paced environment. Our Web Services 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.
We are looking for excellent electrical engineering graduates to join our talented Physical Design team, which develops our next generation products for the cloud market.
We will be conducting a unique training program for three months, where where you will be studying the following with our technical experts and team leaders:
* Backend development flow and stages (RTL to GDS).
* A wide variety of relevant tools and knowledge.
* Practical experience with the most advanced technologies in the industry.

Key job responsibilities
Join our three-month training program where you'll work alongside technical experts and team leaders to gain:
*Backend development expertise (RTL to GDS flow).
*Hands-on experience with industry-leading tools and technologies.
*Practical skills in AI-driven innovations and cutting-edge methodologies.
You'll collaborate with cross-functional teams throughout the chip development cycle and become an essential part of our dynamic physical design team, playing a critical role in next-generation cloud computing solutions development.

As a Senior Startup Investor Manager within us, you will work with venture capital firms to accelerate portfolio company success. You'll work with key investors to help unlock the potential of their portfolio companies on AWS, enabling faster innovation and scaling. Your role focuses on supporting meaningful initiatives between the investment community and AWS, helping startups leverage cloud to achieve breakthrough growth. You'll combine technical understanding of cloud and emerging technologies, such as generative AI, with business acumen to identify opportunities and ensure startups have access to the tools, expertise, and support needed to build world-changing products on AWS infrastructure.

Key job responsibilities
Own, build, and develop strategic relationships with VC partners, leveraging investor-focused programs and tailored initiatives to accelerate portfolio company success on AWS.
Implement solutions that address specific startup and investor needs
Collaborate on cross-functional initiatives involving AWS Startups, Sales, Marketing, and Product teams.
Monitor program effectiveness and provide feedback based on results
Collect early-stage market signals from investors and founders to support AWS innovation and help meet the evolving needs of tomorrow's breakthrough companies.
Evaluate technical and business potential of startups through understanding of their architecture, technology stack, and market opportunity.
Serve as advisor to portfolio companies, helping them optimize their cloud architecture and go-to-market approach.

We are seeking a Software Embedded Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure. You will join teams focused on networking, machine learning acceleration, and high-performance computing (HPC), impacting millions of AWS services globally.

Cutting-Edge Technology: Work on custom silicon (e.g., Graviton, ML accelerators) and innovative networking solutions at the intersection of hardware and software.

Growth & Innovation: Benefit from AWSs resources, mentorship programs, and opportunities to publish technical content.

We are looking for a Software Development Student to join us part-time alongside your studies. You will work on real firmware that ships on production ML servers, writing and testing code, debugging on real hardware, and learning how large-scale accelerator platforms are built from the ground up. You will be working closely with silicon, hardware, and cloud teams to bring new accelerator platforms from first power-on to production. You will be paired with experienced engineers who will mentor you, review your code, and help you grow.

This is a hands-on role for a student who is curious about how hardware and software meet, enjoys solving problems at a low level, and wants to make a real impact on systems used at massive scale.

Key job responsibilities
- Develop, test, and debug firmware components for ML accelerator servers.
- Write clean, well-tested code and participate in code reviews.
- Investigate and root-cause issues on real hardware in the lab.
- Build tools and automation that improve the team's development and validation flow.
- Collaborate with firmware, hardware, and platform engineers across the group.

We're looking for a Design Verification Team Lead - a design verification technical lead that is responsible for complex SoC sub-system, with cutting edge technology for Nitro system SoC, the foundation of AWS's virtualization, networking, and storage offload infrastructure.

It starts at product definition - we engage from day one, shaping requirements and translating product intent into verification strategies before a single line of RTL is written

It extends into software - we work side-by-side with SW teams, verifying hardware-software interfaces and ensuring seamless integration across the stack, with particular emphasis on networking workloads such as ENA and EFA

It reaches into physical design - we verify physical design aspects within functional verification, bridging the gap between logical correctness and silicon reality

It closes the loop - from spec to silicon, our verification touches every team and every stage of chip development

Key job responsibilities

- Develop and execute verification plans for IO sub-systems - covering interconnect protocols, peripheral interfaces, and system-level integration with a strong connection to networking flows (ENA/EFA).

- Verify IO sub-system features, including interconnect protocols and various accelerator engines.

- Develop and debug C embedded SW as part of hardware-software integration verification.

- Build and maintain UVM-based verification environments for various clusters and sub-systems.

- Verify ARM advanced interconnect protocols (AMBA CHI/ACE/AXI) ensuring correct coherency transactions, performance verification, and protocol compliance.

- Verify the IO virtualization SMMU/TLB operations, page table walks, translation granules, and memory attributes (cache-ability, share-ability).

- Develop constrained-random and directed test strategies targeting corner cases in IO protocol hazards, coherency races, and system boundary conditions.

- Drive coverage closure using functional coverage models, assertion-based verification, and formal methods where applicable.

- Contribute to performance verification - ensuring micro-architectural implementations meet performance targets alongside correctness.

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.

The MLIL FLOW team is looking for a Software Development Engineer to design and build automation, tooling, and monitoring systems for our next-generation ML accelerator servers. We build production software to validate, initialize, monitor, and qualify these servers - from first silicon through fleet-scale deployment. Our work spans hardware diagnostics, manufacturing test automation, CI/CD pipelines, operational dashboards, and data-driven fleet health monitoring.


Key job responsibilities
Design and develop software infrastructure - automation frameworks, deployment systems, and test orchestration platforms that run at scale across manufacturing and production environments.
Work cross-functionally with Hardware, Manufacturing, and EC2 teams to automate coordinated software delivery and qualification workflows.
Debug and root-cause hardware/software interaction failures using systematic data analysis and automation-assisted triage.
Build and own CI/CD pipelines end-to-end: from code commit through build, test, deploy, and production validation - driving fast, reliable software delivery for hardware teams.
Create data pipelines and analytics systems (ETL, aggregation, real-time reporting) that transform raw hardware test results into actionable engineering insights.
Develop monitoring dashboards, alerting systems, and data visualization tools for fleet health, yield tracking, and performance benchmarking.
Own features end-to-end: from design through implementation, testing, deployment, and operational excellence.

As a DFT Engineer at Annapurna Labs (AWS), you'll take ownership of testability architectures and DFT logic, driving their development and verification through the full hardware lifecycle. Your responsibilities may include:
Define and implement DFT architectures for complex SoC designs.
Develop and integrate DFT logic including: MBIST (Memory Built-In Self-Test), JTAG/TAP, and boundary scan.
RTL coding and debug of DFT controllers and infrastructure using Verilog/SystemVerilog.
Drive gate-level simulations to validate DFT functionality and test patterns.
Develop and verify DFT logic using UVM-based testbenches, functional simulation, and coverage-driven verification.
Participate in design reviews, DFT sign-off processes, and tapeout preparation
Cross-functional collaboration with Design, Verification, Physical Design, and Production/Test teams.

As a Q&R Lab Engineer you will help to manage the qualification and testing of some of the most advanced ICs in the world, support the maintenance of the Lab equipment and help the Q&R Engineers ensure that the AWS cloud remain the most reliable cloud in the world.


Key job responsibilities
In this role you will have end-to-end responsibility for the Q&R labs, support Annapurna's Q&R Engineers to setup and conduct reliability tests, preform tests on leading world-class ICs using high-end equipment and support the operation and maintenance of the Q&R lab.

As a Solutions Architect at AWS, youll build relationships with customers and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey.

Youll manage the overall technical relationship between AWS and our customers, making recommendations on software, data, security, cost, performance, reliability and operational efficiency to accelerate their business transformation. Internally, you will be the voice of the customer, sharing their needs and wants to make AWS's value higher for our customers.

In this role, your creativity will link technology to tangible solutions, with the opportunity to implement cloud-native architectures for a variety of use cases. You will participate in the creation and sharing of best practices, technical content and new reference architectures (e.g., white papers, code samples, blog posts) and evangelize and educate about AWS technology (e.g., through workshops, user groups, meetups, public speaking, online videos or conferences).

The Chip HAL team is looking for a talented 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.

In this role you will be leading tasks involving peers from multiple disciplines, while enjoying every step of the journey.
You will have the opportunity to work on the heart of the network engine, at the worlds largest cloud provider, in a dynamic, open, fast-paced environment.