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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.

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.

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 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 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.

As a software developer in this role, you will have the opportunity to design and deliver the development of engaging features for millions of customers. You will be an integral part of a passionate and creative team that encourages experimentation and innovation on behalf of our customers. You will tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon. Along the way, youll learn a lot, have fun and make a positive impact on millions of people.

We are looking for a talented Software Development Engineer with a strong technical background, customer obsession and bias for action with a track record of leading and delivering robust solutions quickly. Strong judgment and communication skills, long-term technical vision, and continuous focus on engineering and operational excellence are essential for success in this role. You will be expected to take ownership, be proficient technically, mentor and grow junior developers, encourage software development best practices, and iterate quickly.

Key job responsibilities
- Design, build, test, and operate features for the Interests experience across web and mobile surfaces.
- Deliver end-to-end solutions with focus on maintainability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Understand latest trends in mobile technology and work across Amazon mobile teams.
- Build AI-powered experiences including personalized updates, relevance explanations, and contextual recommendations.
- Implement analytics events and experiment configurations to measure engagement and retention.
- Relish the idea of solving problems and be comfortable with a degree of ambiguity thats higher than most projects.

We are looking for a Windows platform expert with deep, hands-on scripting skills (PowerShell preferred) to own the security hardening, imaging, and deployment automation of the Windows environment underlying our FFRangio system.
You'll work at the intersection of low-level Windows internals (boot security, disk encryption, image management) and modern Windows virtualization and DevOps practices (CI/CD pipelines), helping us build a secure, locked down, and reliably reproducible Windows environment for a regulated medical device product.
You should be comfortable going deep - from BIOS settings and TPM chains up through image-building and pipeline automation - and who treats scripting as the primary tool for making security and deployment repeatable, auditable, and reliable, in service of a real clinical product used in the Cath lab.

Responsibilities may include the following and other duties may be assigned:
Design, implement, and maintain PowerShell-based automation for system configuration, hardening, and deployment of FFRangio Windows workstations.
Define and enforce BIOS/UEFI security settings and TPM-based trust chains (Secure Boot, measured boot, TPM attestation).
Implement and manage BitLocker and other Windows encryption mechanisms, including key management and recovery strategies.
Build and maintain Windows hardening baselines using Group Policy, AppLocker, custom Shell/UI restrictions, and Kiosk (Assigned Access) mode suited to a clinical, cath-lab environment.
Manage user/account permission models and least-privilege access schemes across managed devices.
Create, manipulate, and maintain VHD/VHDX-based images for deployment, recovery, and testing workflows.
Build and maintain CI/CD pipelines in Azure DevOps for automated build, test, and deployment of Windows images and configurations.
Collaborate with software, QA, and regulatory/quality teams to ensure hardening and deployment practices.
Document configurations, scripts, and processes for reproducibility and audit purposes, consistent with medical device quality system requirements.

We are looking for a Software Engineer to join our team building next-generation software for interventional cardiology. As a software engineer, you will be responsible for designing, writing, debugging, testing, and maintaining complex applications that process and visualize angiographic imaging in real time within the Cath lab. You will work closely with algorithm developers, software test and automation engineers, biomedical engineers, and upstream product specialists in an agile environment to refine and enhance existing applications, as well as develop new, innovative ones. You will formulate, deliver, and/or manage assigned projects and works with other stakeholders to achieve desired results. The majority of time is spent delivering R&D, systems, or initiatives related to new technologies - from design to implementation - while adhering to policies and using specialized knowledge and skills.

Responsibilities may include the following and other duties may be assigned:
Design, develop, test, debug, and implement operating system components, software tools, and utilities.
Determine systems software design requirements.
Ensure that system improvements are successfully implemented and monitored to increase efficiency.
Generate systems software engineering policies, standards, and procedures.
May work across a variety of software lifecycle activities as determined by program needs.

We are growing rapidly and we are seeking a Senior Full Stack Developer to join our technology team. This position will be instrumental in developing new products and capabilities on our platform for our clients.
Responsibilities:
Collaborate closely with Product and Design teams to build new features end-to-end.
Coordinate with engineering and product leadership to define projects that help us meet business objectives.
Support existing platforms including: additions to features, upgrade of technology and implementation of new clients requests.
Work with support to investigate and debug technical support requests and client issues.
Work in an Agile environment, at a sustainable pace of one/two-week sprints.
Continuously learn and evaluate new technologies and guide team decision making.
Mentor, pair, and delegate work to encourage the professional and technical growth of peers.

We are looking for a hands-on Computer Vision & AI Algorithm Engineer to develop advanced imaging algorithms for a cutting-edge medical device. The role spans the full spectrum of algorithm development - from creating new solutions to improving, maintaining, validating, and integrating them into the product. The ideal candidate is curious, pragmatic, and comfortable moving between deep learning, classical computer vision, data analysis, debugging, validation, and product integration as needed. They measure success by seeing algorithms work reliably in a real-world product and enjoy collaborating across disciplines to solve the challenges that move the product forward.

Responsibilities may include the following and other duties may be assigned:
Design, develop, maintain, and continuously improve AI, computer vision and image processing algorithms for a medical imaging product.
Own the full lifecycle of algorithm development, from concept and data definition through implementation, validation, product integration, and long-term maintenance.
Use both classical computer vision methods and machine/deep learning methods to come up with solutions for various problems in the domains of image classification, segmentation and 3D modeling.
Collaborate with SW developers, biomedical engineers, product specialists and other algorithms developers to refine and enhance existing applications.
Maintain and improve algorithm robustness, performance and reliability in production environments.
Identify opportunities for innovation and design novel algorithms to address complex technical challenges.
Stay at the forefront of relevant academic research by reviewing the latest papers and evaluating their potential impact on the companys algorithmic stack.