Software Engineer - Data Infrastructure & Acquisition

Skydio stands at the forefront of the drone industry, recognized as the premier US drone company and global leader in autonomous flight technology, which is vital for the future of aerial mobility. Our team is comprised of experts in artificial intelligence, innovative hardware and software development, operational excellence, and an unwavering commitment to customer satisfaction. We empower a diverse range of drone users, from utility inspectors and first responders to military personnel on the battlefield and beyond.About the Role:We invite applications for a seasoned software engineer to spearhead the creation of tools that enhance each phase of the autonomy lifecycle. You will play a pivotal role in developing and refining essential internal platforms that enable engineers to explore new concepts, analyze system behaviors, and comprehend intricate interactions between software and the physical environment.This position merges backend systems development with frontend visualization, necessitating a robust understanding of software design, developer experience, and a genuine passion for empowering colleagues through effective tooling. The systems you create will be utilized daily by autonomy developers, test engineers, and various other stakeholders within the organization.

Skydio stands at the forefront of autonomous flight technology, redefining the future of drones and aerial mobility. As the leading US drone manufacturer, our team blends unrivaled expertise in artificial intelligence with top-tier hardware and software development, operational excellence, and a commitment to customer satisfaction. We empower a diverse range of drone users, from utility inspectors and first responders to military personnel on the battlefield and beyond.About the Role:At Skydio, our autonomy system relies on advanced semantic and geometric comprehension of the world through visual data. We are pushing the limits of real-time deep learning networks to enhance intelligent mobile robotics. If you are passionate about utilizing vast structured video datasets to tackle challenges in Computer Vision (CV), including object detection, tracking, optical flow estimation, and segmentation, we want to connect with you.As a Deep Learning Infrastructure Engineer, you will play a pivotal role in constructing and scaling the infrastructure that underpins Skydio’s Deep Learning (DL) and AI initiatives. Collaborating closely with our autonomy, embedded, and cloud teams, you will deliver innovative capabilities and support the deep learning team.Your Impact:Develop high-performance solutions for deep learning inference tailored to CV workloads, ensuring high throughput and low latency across various hardware platforms.Analyze the performance of CV and Vision Language Models (VLMs) to pinpoint bottlenecks and opportunities for optimization and enhanced power efficiency.Design and implement comprehensive MLOps workflows for model deployment, monitoring, and retraining processes.Apply your advanced machine learning knowledge to improve system performance through training or runtime frameworks and model efficiency tools.Innovate new methods to enhance training efficiency.Develop GPU kernels for custom architectures and optimized inference.Create SDKs that facilitate customer and external developer engagement in building autonomous workflows utilizing Machine Learning (ML).Utilize your expertise and adherence to best practices to uphold and enhance Skydio’s engineering standards.Qualifications:Hands-on experience with MLOps, ML inference acceleration/optimization, and edge deployment.Proficiency in deep learning frameworks and tools.Strong understanding of computer vision principles and practices.Excellent problem-solving skills and attention to detail.

Skydio stands at the forefront of drone technology as the leading US drone company and the global pioneer in autonomous flight—an essential aspect of the future of aerial mobility. Our team is comprised of experts in artificial intelligence, cutting-edge hardware and software development, operational excellence, and an unwavering commitment to customer satisfaction. We strive to empower a diverse range of drone users, from utility inspectors to first responders and beyond.About the Role:Our autonomy system relies on learning both semantic and geometric interpretations of the world through visual data. We are challenging the limits of real-time deep networks to enhance the capabilities of intelligent aerial robots, enabling them to autonomously navigate uncharted environments and deliver significant operational benefits. If you are passionate about applying deep learning in real-world scenarios and tackling complex issues in computer vision and autonomy, we would be thrilled to connect with you.In the role of Deep Learning Engineer, you will focus on training and deploying optimized models to tackle difficult challenges such as optical flow estimation, stereo depth estimation, object detection, segmentation and tracking, visual place recognition, localization and mapping, few-shot learning, occupancy networks, automated path planning, and more.Your Impact:Design, implement, and deploy advanced computer vision and multimodal deep learning models for Skydio's autonomy system.Utilize extensive real-world video and sensor data for data mining, curation, labeling, training, and evaluation.Employ large-scale and diverse synthetic data to enhance deep learning algorithms.Utilize state-of-the-art foundation models for knowledge distillation and efficient learning.Optimize models for low-latency performance on embedded hardware.Develop evaluation benchmarks and metrics to assess the performance of autonomous systems.Act as a versatile team member, contributing across various software aspects as needed.Qualifications:M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field.Proven hands-on experience in designing, training, and deploying deep learning models.Ability to produce high-quality, well-architected code (Python/PyTorch preferred).

Join On Running AG as a Senior Tooling Engineer, where you will play a critical role in the development and optimization of our innovative tooling solutions. In this position, you will be responsible for designing, testing, and implementing advanced tooling processes that enhance our production capabilities and product quality.Your expertise will be pivotal in driving efficiency and ensuring that our tooling meets the highest standards of excellence and innovation. Collaborate with cross-functional teams to support new product launches and continuous improvement initiatives.

At Skydio, recognized as the premier US drone manufacturer and a global pioneer in autonomous flight technology, we are dedicated to revolutionizing the future of drones and aerial mobility. Our innovative team brings together profound expertise in artificial intelligence, state-of-the-art hardware and software product development, operational excellence, and an unwavering commitment to our customers. We aim to empower a diverse range of drone users, from utility inspectors and first responders to soldiers in challenging environments and beyond.About the Role:The essence of our autonomy system lies in learning a semantic and geometric understanding of the world through visual data. We are at the forefront of advancing real-time deep networks to accelerate the development of intelligent mobile robots. If you are passionate about tackling complex challenges in object detection, tracking, motion prediction, flow estimation, and comprehensive scene understanding using vast amounts of structured video data, we eagerly invite you to join our team.Your Impact:Design and implement cutting-edge deep learning solutions that address detection, tracking, segmentation, and optical flow estimation tasks in real-time on Skydio drones.Utilize advanced techniques in unsupervised learning, few-shot learning, and foundational models to enhance data-efficient machine learning.Curate and enhance synthetic datasets that fuel our deep learning algorithms alongside extensive structured video data.Refine and optimize models for low-latency performance on embedded hardware.Characterize and evaluate the performance of our vision systems.Research and prototype innovative methodologies.Act as a generalist, contributing across various aspects of the software when necessary.Ideal Candidate:Proven hands-on experience in developing and deploying deep learning models.Experience in curating both synthetic and real-world image datasets.Solid foundation in software engineering with a commitment to writing clean, well-structured code (preferably in Python and C++).Demonstrated ability to prototype, train, optimize, and deploy deep neural networks.Strong ability to comprehend and contextualize scientific papers and literature in computer vision.Thrives in a fast-paced, collaborative, small team environment.

At Skydio, the premier drone company in the US and a global leader in autonomous flight technology, we are shaping the future of drones and aerial mobility. Our team is composed of experts in artificial intelligence, innovative hardware and software development, operational excellence, and a strong commitment to customer satisfaction. We aim to broaden the accessibility of drone technology to a diverse range of users including utility inspectors, first responders, and military personnel.About the Position:The essence of our autonomy system lies in its ability to learn a semantic and geometric understanding of the world through visual data. We are at the forefront of developing real-time deep learning networks to advance intelligent mobile robotics. If you are passionate about utilizing vast structured video datasets to tackle challenges in Computer Vision (CV), such as object detection, tracking, optical flow estimation, and segmentation, we want to hear from you.As a Deep Learning Model Acceleration Engineer, you will play a pivotal role in constructing and scaling the infrastructure that underpins Skydio’s Deep Learning (DL) and AI initiatives. You will collaborate closely with our autonomy, embedded, and cloud teams to introduce new capabilities and support our deep learning efforts.Your Impact:Develop high-performance solutions for deep learning inference tailored to CV workloads, ensuring high throughput and low latency across various hardware platforms.Profile CV and Vision Language Models (VLMs) to assess performance, pinpoint bottlenecks, and discover optimization opportunities while enhancing the power efficiency of deep learning inference tasks.Design and implement comprehensive MLOps workflows for model deployment, monitoring, and retraining.Apply your advanced Machine Learning expertise to utilize training or runtime frameworks and model efficiency tools aimed at boosting system performance.Devise innovative methods to enhance training efficiency.Implement GPU kernels for custom architectures and optimized inference.Create SDKs enabling customers and external developers to construct autonomous workflows utilizing Machine Learning (ML).Leverage your knowledge and best practices to maintain and elevate Skydio’s engineering standards.Qualifications:Proven hands-on experience with MLOps, ML inference acceleration/optimization, and edge deployment.Strong foundational knowledge in deep learning frameworks and computer vision.Ability to work collaboratively in a fast-paced environment and manage multiple projects simultaneously.

Role Overview The Lead Tooling Engineer at On Running AG shapes the next generation of high-performance products for athletes, while supporting the company’s sustainability goals. This role sits in Zurich and focuses on driving innovation and design for On’s flagship performance products. What You Will Do Lead the development of the bottom unit for On’s top-tier performance products, from early concept through prototyping. Work closely with designers and developers at On Labs in Zurich and the tooling team in Vietnam to deliver high-quality results. Guide teams on material choices, geometry, and construction, always considering manufacturing feasibility, biomechanical performance, and durability. Identify and implement process improvements for bottom unit development across the organization. Collaboration This position requires frequent collaboration with cross-functional partners, including design, development, and manufacturing teams in both Zurich and Vietnam.

Join our innovative team at anybotics as the Head of Software Infrastructure where you will lead cutting-edge projects and drive the development of our software systems. You will oversee the architecture, design, and implementation of robust software solutions that support our advanced robotics technology. Your leadership will be pivotal in enhancing our infrastructure capabilities and ensuring optimal performance.

Skydio builds autonomous flight technology for drones used in fields like utilities, public safety, and defense. The Zurich team blends artificial intelligence with hardware and software development, delivering smart aerial systems for real-world missions. Skydio drones support a range of professionals, including utility inspectors, first responders, and soldiers in tactical scenarios. Internship focus This Autonomy Engineer Intern position centers on deep learning for computational photography in autonomous drones. Skydio’s autonomy system relies on advanced semantic and geometric understanding, using high-quality visual data. The Zurich team develops real-time deep learning networks that help drones navigate new environments and deliver valuable data for inspection, mapping, ISR, and public safety tasks. Interns will contribute to computational photography models and algorithms, aiming to improve camera performance and support a variety of drone missions. The work spans imaging, computer vision, and autonomy, applying deep learning to practical scenarios. What you will do Design, implement, and deploy deep learning models for computational photography, including super-resolution, multi-frame denoising, low-light imaging, and HDR imaging. Handle large sets of real-world video and sensor data for data mining, curation, labeling, training, and evaluation. Train and deploy optimized models to tackle challenges such as multimodal scene understanding, optical flow and range estimation, object detection, segmentation and tracking, visual localization and mapping, few-shot learning, and automated path planning. Location This internship is based in Zurich, Switzerland.

Role overview As a Senior Software Engineer for Autonomous Flight Systems at Destinus Group in Zürich, the focus is on developing software that enables autonomous flight and supports real-time decision-making in mission-critical situations. This position involves new software development, writing high-performance code that interacts directly with hardware, and processing complex data streams in real time. Reliability is central, as the software must perform consistently in demanding environments. Projects span embedded platforms, advanced data pipelines, sensor fusion, and networking. The work directly shapes how Destinus UAV systems perceive their environment, make decisions, and act autonomously. What you will do Design and implement high-performance C++ software for critical real-world applications. Collaborate with hardware, avionics, and systems teams to integrate software with physical components. Develop and refine software that runs under real-time and resource-constrained conditions. Contribute to architecture and scalability across embedded systems and distributed data pipelines. Enhance performance, reliability, and maintainability throughout the software stack. Tackle complex engineering challenges where standard solutions may not fit. About Destinus Destinus develops advanced Unmanned Aerial Vehicles (UAVs) for the defense sector. The company partners with government and defense organizations worldwide, delivering technologies focused on speed, precision, and cost efficiency. Destinus aims to set new standards in aerospace innovation and help define the future of defense operations with its UAV solutions.

Gravis Robotics is an innovative startup dedicated to transforming heavy construction machinery into intelligent, autonomous robotics. Our groundbreaking approach combines advanced learning-based automation with augmented remote control, enabling a single operator to manage a fleet of machines safely from any location globally. With over a decade of academic expertise in large-scale robotics, our team is rapidly expanding to revolutionize this multi-billion dollar industry.Internship OverviewWe are seeking enthusiastic and talented interns to join our dynamic team and contribute to the development and implementation of extraordinary construction robots. The ideal candidate is self-driven, thrives in both independent and collaborative environments, and possesses a strong passion for tackling exciting and complex challenges.At Gravis, we constantly engineer solutions at the intersection of hardware and software. Your responsibilities may encompass one or more areas based on your experience and interests.

Skydio stands at the forefront of autonomous flight technology, revolutionizing the future of drones and aerial mobility. As the leading US drone company, we harness cutting-edge artificial intelligence, state-of-the-art hardware, and exceptional software development to empower a diverse range of drone users, from utility inspectors to first responders and military personnel.About the Role:Join us in building the world’s most sophisticated autonomous drones utilized in various sectors including inspection, public safety, defense, and cinematography. Your innovative research will not just remain theoretical; it will take flight, directly influencing how pilots and operators execute missions in challenging environments. You will develop and implement reinforcement learning and related policy-learning methodologies that enhance the ability of Skydio aircraft to autonomously plan, navigate, and control themselves more intelligently, safely, and efficiently across our ecosystem, which includes handheld applications, ground control systems, cloud autonomy services, and fleet operations.How You'll Make an Impact:Adaptive Navigation & Avoidance: Train adaptive policies for navigating complex 3D environments (such as forests, urban areas, and bridges), enhancing our existing obstacle avoidance and goal-seeking capabilities.Reinforcement Learning-Enhanced Planning: Integrate learned cost functions and value assessments with trajectory optimization techniques to ensure smooth, agile flight while adhering to safety parameters and mission requirements.Simulated to Real-World Application: Create scalable datasets and training loops leveraging Isaac Lab, domain randomization, and safety protocols, with weekly validation on actual drones.Human-in-the-Loop Control: Develop assistive policies that seamlessly merge pilot intent with autonomous operations, enhancing the ease of control transitions.Collaborative Fleet Operations: Investigate decentralized coordination strategies for effective coverage, pursuit, and collaborative mapping with minimal communication.What Sets This Internship Apart:Hands-On Hardware Experience: Utilize simulations for prototyping and conduct flight tests on production-ready aircraft and edge computing systems. Your contributions will have a tangible impact beyond the simulation environment.Emphasis on Safety: We prioritize safety in our learning processes by integrating formal constraints, uncertainty estimation, and conservative action filters to ensure reliable deployment in human-centric environments.

About Flexion Robotics:At Flexion Robotics, we are pioneering the intelligence layer that will drive the next generation of humanoid robots. Our mission is to facilitate the seamless transition from fragile prototypes to actual deployment of humanoid robots in real-world applications. We are backed by a team of renowned scientists from the fields of robotic reinforcement learning (ex-Nvidia, ex-ETH Zürich) and supported by leading international venture capital firms. In just a few months, we have advanced from our first line of code to launching genuine humanoid capabilities in collaboration with our partners.The Role:This position transcends the typical product management role. As a vital member of our product team, you'll operate at the nexus between our infrastructure engineering team and our customers, taking ownership of the tools and interfaces developers utilize to integrate Flexion's AI software with new robotic platforms. You will spend substantial time engaging with our robots in the testing space, traveling to customer locations to grasp integration challenges firsthand, and translating these insights into a comprehensive tooling roadmap that accelerates deployments.Your responsibilities encompass the entire lifecycle: from the initial SDK integration on new customer platforms, through development and testing workflows, to production debugging and maintenance tools. You'll be instrumental in defining what constitutes an exemplary developer experience for engineers working with humanoid robots—an evolving field with no established playbook.Responsibilities:Take ownership of the product roadmap for Flexion's developer tools, which include SDKs, APIs, CLI tools, GUIs, diagnostics, and integration frameworks.Collaborate directly with customer engineering teams to gain a deep understanding of their integration workflows, hardware limitations, and pain points, with regular travel to customer sites.Establish requirements and acceptance criteria for tooling releases, working closely with Flexion's infrastructure and testing teams while maintaining a continuous feedback loop between delivered products and actual customer needs.Engage hands-on with robots, execute integrations, replicate bugs, and ensure that tooling performs effectively in real-world conditions.Guide the release process for developer-facing tools, encompassing documentation, versioning, and changelog communications to customers.Analyze adoption and usage patterns across customers, leveraging both quantitative signals and qualitative feedback to prioritize the backlog effectively.Develop and maintain comprehensive developer documentation, tutorials, and reference architectures that empower customer teams to self-serve whenever possible.

Role Overview Destinus Group is seeking a UAV Systems Engineer to join the team in Zürich, Switzerland. This role focuses on developing advanced Unmanned Aerial Systems (UAS) for demanding military applications. The position centers on system architecture, translating complex operational needs into practical solutions, and ensuring advanced technologies perform reliably in real-world missions. The work spans the full lifecycle of critical subsystems, from autonomous navigation to robust communication networks. The UAV Systems Engineer will have a direct impact on how these systems function under pressure. About Destinus Group Destinus Group develops high-speed autonomous flight technologies for defense. The company’s unmanned aerial systems aim to increase speed, precision, and efficiency for governments and defense organizations worldwide. Daedalean AG, Destinus Group’s AI and autonomy division, focuses on safety-critical AI at the intersection of research and aviation. The team brings together aerospace engineering and artificial intelligence to advance autonomous flight. What You Will Do System Architecture & Design: Contribute to both conceptual and detailed design of UAS platforms, integrating Flight Control Systems, navigation sensors, propulsion, and mission payloads. Requirement Management: Support the systems engineering process by capturing, deriving, and managing requirements from stakeholders. Navigation & Sensor Integration: Help design and optimize Positioning, Navigation, and Timing (PNT) solutions. Work with GPS/GNSS, Inertial Navigation Systems, and anti-jamming technologies for reliable operation in challenging conditions. Communications & Datalinks: Assist with deploying secure, low-latency communication systems, including Line-of-Sight, SATCOM, telemetry, and radar technologies. Hands-on Electrical Integration: Participate in electrical integration, including power generation and distribution, wire harness design, EMI/EMC considerations, and avionics compatibility. Verification & Validation (V&V): Support the development and execution of V&V plans, including hardware-in-the-loop and software-in-the-loop testing, to meet military standards such as MIL-STD-810 and MIL-HDBK-516C.

About Flexion Robotics Flexion Robotics is building the intelligence framework for tomorrow’s humanoid robots. The company’s mission is to move from early prototypes to fully functional humanoid systems. Founded by leading scientists in robot reinforcement learning (with backgrounds at Nvidia and ETH Zürich) and backed by top international venture capital, Flexion Robotics has quickly progressed from first lines of code to deploying real humanoid capabilities. Role Overview The Machine Learning Infrastructure Engineer will help shape the core computing and data systems that support cognitive development for humanoid robots. This position focuses on building and maintaining the platforms needed to train large foundational models on substantial datasets. The work involves designing training clusters, architecting data pipelines to move information from simulators and robots into model training, and creating tools that enable AI engineers to train, evaluate, and iterate efficiently. This is a senior, on-site position based in Zürich. The Infrastructure team includes engineers with experience at Google, Meta, and Amazon. The role offers broad responsibility for systems supporting data collection, training, and experimentation workflows, including infrastructure strategy, cluster orchestration, distributed training, data platforms, CI, and experimentation tools. What You Will Do Design, deploy, and maintain GPU compute clusters for large-scale model training across multiple cloud providers, including job scheduling with Slurm and Kubernetes. Build data platforms and pipelines: set up storage, processing, and serving layers to manage data from simulator outputs and robot telemetry to training datasets. This includes infrastructure using object storage (S3), parallel filesystems (Lustre), and data formats such as Parquet, WebDataset, and LeRobot. Use distributed processing tools like Ray and Spark to transform and validate data at scale. Work with AI engineers to optimize distributed training on multi-node GPU clusters, focusing on throughput, device utilization, and communication efficiency. Improve distributed IsaacLab-based sim-to-real training workflows. Evaluate and select new platforms: assess cloud providers, GPU-as-a-Service options, and new tools, taking ownership of decisions as computing needs grow. Location This role is on-site at Flexion Robotics’ Zürich office.

About GenPeach AIGenPeach AI stands at the forefront of innovation, transforming how individuals create and engage with AI-driven technology. Our product-focused research lab is dedicated to developing advanced multimodal AI that resonates emotionally with users.We specialize in constructing vertical foundation models that generate hyper-realistic representations of humans in both image and video formats. Our technological framework includes utilizing vast proprietary datasets, formulating cutting-edge model architectures, and training these models effectively on substantial GPU clusters, all while seamlessly integrating them into user-facing products.With our focus on training and deploying large-scale models, we bridge the gap between research-grade AI and production-quality systems engineering, ensuring our solutions are not just theoretical but are actively contributing to real-world applications.About the RoleWe are searching for a Member of Technical Staff (MTS) who will take ownership of and enhance the AI infrastructure that supports both our research and production systems.This pivotal infrastructure role offers significant ownership and a direct impact on model training, inference performance, and developer productivity.In this role, you willLead the AI execution and infrastructure layer utilized by our research and product teams.Design and develop high-performance Python systems for:Scalable model inferenceTraining orchestrationLarge-scale data processingCollaborate closely with research and backend engineers to implement models and expose them through APIs.Design and manage distributed pipelines and task queues for both batch and streaming workloads.Enhance GPU inference for latency, throughput, and cost efficiency.Oversee the MLOps lifecycle, including model deployment, versioning, monitoring, and alerting.Build and sustain CI/CD pipelines for services and ML workflows.Identify and resolve performance bottlenecks across Python, GPUs, networking, and storage.Contribute to the architectural design and long-term infrastructure decisions.Minimum Qualifications5+ years of professional experience in software engineering with a focus on Python.Extensive knowledge of Python, including asynchronous programming, multiprocessing, concurrency, performance profiling, and optimization techniques.

Join the Future of Aerospace Engineering. As a Satellite Communication Systems Engineer, you will spearhead innovative satellite communication solutions for autonomous vehicles, pushing the boundaries of speed, altitude, and connectivity. One day, dive into RF system modeling; the next, refine link budgets that redefine capabilities. You’re not just an engineer; you’re a pioneer, shaping the future of high-speed, high-altitude defense and aerospace operations.At Destinus, we are transforming the defense landscape with our state-of-the-art Unmanned Aerial Vehicles (UAVs). Our groundbreaking technologies cater to the evolving needs of modern defense operations, delivering unmatched speed, precision, and efficiency. Collaborating with government agencies and defense organizations globally, we provide advanced solutions for mission-critical tasks, ushering in a new era of operational excellence and technological dominance. Be part of our mission to revolutionize defense through innovative aerospace advancements.

Transform the Travel Experience Worldwide Embark on an exciting journey with GetYourGuide, where we connect travelers to remarkable experiences across the globe. Millions of users rely on us for trustworthy and unique activities, all driven by our dedication to making every journey exceptional—including yours. Are you ready to explore your potential within a community of fellow adventurers? Discover your next opportunity at our Zurich office or any of our offices worldwide, from New York to Bangkok. Visit getyourguide.careers to take your first step. Team Mission At GetYourGuide, our engineers tackle significant challenges: developing systems that connect millions of travelers with unforgettable experiences. Our teams learn rapidly, take ownership, iterate, and deliver at scale. With AI revolutionizing product development and the future of travel, this is an exceptional opportunity for the right engineer to engage in thrilling early-career work. Your Mission Under mentorship, you'll develop clean code that reaches millions of travelers. Collaborate with senior engineers to design and create reliable, scalable systems, contributing your own ideas. Own features from problem identification and solution design through to deployment, monitoring, and iteration. Utilize AI tools intelligently in your daily tasks. Contribute to AI-driven product experiences that redefine how travelers discover, book, and enjoy their journeys. Participate in code reviews, enhance our codebase, and elevate the quality standards across your team. Work closely with product and design teams to grasp the traveler challenges you're addressing, beyond just the task at hand.

DeepJudge creates AI and ICT solutions tailored for the legal sector, operating from its headquarters in Zurich. Founded by former Google engineers with advanced degrees in AI from ETH Zurich, the company is supported by Silicon Valley investors. Its core mission is to build infrastructure that helps law firms and legal departments access and use their institutional knowledge more effectively. Many law firms use similar AI models, but their unique expertise often remains isolated. DeepJudge addresses this by offering enterprise search and AI frameworks that provide immediate access to internal knowledge, enabling automation and supporting knowledge-driven applications. Clients include international law firms such as Gunderson Dettmer, Holland & Knight, Arent Fox, and Cozen O’Connor. The team is growing in both Switzerland and North America, with a focus on surfacing and applying professional knowledge in new ways. Speed, analytical thinking, and a strong commitment to reliable products are central values at DeepJudge. Research and client collaboration are closely linked to deliver solutions that matter in high-stakes environments. Role overview The Applications Team seeks backend software engineers who focus on building dependable systems while remaining flexible. This role involves designing and implementing core backend components for DeepJudge’s web applications. Early participation in design discussions is expected, offering the chance to shape new features and refine existing ones. Over time, the engineer will take on technical leadership for major backend projects. What you will do Develop and maintain Python backend systems for web applications Contribute to backend services written in Rust, C++, and Go as needed Work with a microservices architecture deployed across cloud and on-premises clusters Analyze system performance and manage resources efficiently in varied deployment environments Location This position is based at DeepJudge’s headquarters in Zurich.