Research Scientist Graduate role focused on image/video coding and processing standards. The position requires a PhD and expects familiarity with Python and PyTorch for multimedia research and development.… This is an entry-level research position within ByteDance's Global Frontier Tech Recruitment Program, targeting recent PhD graduates in related fields.
The AVP Tech, Edge Security Engineer designs, builds, and supports highly available enterprise edge infrastructure and security controls using CDN platforms like Cloudflare, Akamai, and Fastly. The role requires architecting edge security standards, performing threat hunting and mitigation, and leading proof-of-concepts for emerging technologies including AI-driven solutions.… Responsibilities include collaborating with enterprise and security architecture teams, improving observability and security posture across edge environments, and participating in on-call incident response. Required experience spans 4+ years with edge infrastructure and CDN platforms, 4+ years with enterprise monitoring tools (Splunk, Datadog, Dynatrace, Grafana), global load balancing solutions, enterprise DNS, and infrastructure automation (Terraform, Ansible, Python, Go).
As a Network Engineer on the IT Infrastructure team, you will design, build, and maintain NASSCO's enterprise network infrastructure, including routers, switches, and firewalls. You'll configure network policies, manage segmentation and automation, troubleshoot issues, and monitor system metrics using tools like SolarWinds.… The role requires CCNP-level expertise in routing protocols, TCP/IP, and security, with hands-on experience in Cisco products, Palo Alto firewalls, Software-Defined Networking, and Zero Trust Access architectures.
Lead a small engineering team responsible for integrating autonomous flight control systems, payloads, and embedded hardware across complex autonomy stacks. Own interface contracts with C2 providers, drive standards compliance (UCI, OMS, MOSA, WOSA, TAK/CoT), and support live mission operations, test exercises, and customer demonstrations with hands-on debugging and field troubleshooting.… Require 7+ years of systems/autonomy experience plus 2+ years of direct people management; build and mentor engineers while driving continuous improvement in integration timelines and deployment reliability.
Qualcomm seeks a Principal Engineer with 18+ years of Linux kernel, KVM, or TEE development experience to lead the design and development of security, virtualization, confidential compute, and trusted execution environment features for next-generation RISC-V SoCs. The role requires hands-on technical leadership at the hardware–software intersection, driving upstream contributions to OpenSBI, KVM, and the Linux kernel, collaborating with hardware teams on silicon and emulation bring-up, and guiding compliance test integration.… Strong expertise in virtualization, confidential compute, TEEs, and debugging tools (ftrace, perf, kgdb, crash) is essential; RISC-V architecture exposure and proven open-source community contributions are highly valued.
Senior engineer responsible for designing, implementing, and debugging high-performance wireless modem software for 5G and IoT platforms. Will analyze system performance and drive end-to-end optimization across modem, RF, and application layers.… Requires strong expertise in software development and silicon design for wireless technologies, with experience in system performance analysis and optimization.
Staff Engineer responsible for designing and building scalable test automation frameworks and CI/CD infrastructure for machine-learning systems at scale. The role requires expertise validating ML quality across the full lifecycle (data, training, evaluation, packaging, deployment, monitoring), GPU-accelerated workloads in Kubernetes, and integrated hardware-software systems.… You will develop automated evaluation suites, performance baselines, release thresholds, and observability solutions while mentoring teams on ML testing best practices and dependency/reproducibility standards.
Senior full-stack engineer responsible for designing and building the Forge Platform—a system enabling applications to contribute widgets, dashboards, commands, and shared resources through typed, versioned contracts. Own the platform from design through production rollout, partnering with autonomy and ML teams to validate workflows and incorporate real-world requirements.… Build backend services, frontend interfaces, and infrastructure that deliver consistent behavior across local and remote environments, while enabling independent application developers to move quickly with clear contracts and documentation.
Shield AI seeks a Senior Engineer to design, develop, and integrate safety-critical Run-Time Assurance (RTA) software for autonomous aircraft and platforms. The role focuses on C++ development of real-time safety capabilities, hardware-in-the-loop integration, and flight-test support for the X-BAT collaborative combat aircraft.… Responsibilities include adapting reusable safety components into production systems, implementing real-time code at autonomy/flight-control boundaries, and strengthening engineering evidence through CI, static analysis, and rigorous testing. Requires 5+ years of embedded/autonomy/aerospace software experience, strong modern C++ and Linux skills, and familiarity with safety-critical development practices.
Design and own full-stack applications for Shield AI's Forge Platform, serving both embedded AI and external agents through shared platform tools. You will build production frontend services in TypeScript and React, backend services in Go, Python, or Rust, and design typed, versioned APIs connecting independently deployed components.… Responsibilities span frontend architecture, backend services, state management, distributed-system patterns (routing, async communication, authentication, authorization), and close collaboration with infrastructure and product teams to create intuitive engineering tools.
Staff Engineer responsible for designing and implementing scalable test automation frameworks and infrastructure for machine learning systems across multiple engineering teams. The role requires expertise in validating ML pipelines across data, training, evaluation, deployment, and monitoring; testing GPU-accelerated workloads in Kubernetes; qualifying integrated hardware and software systems; and developing comprehensive integration and regression strategies.… Deep experience with Python automation, distributed systems testing, performance profiling, and observability is essential, along with strong system-design skills for complex, multi-tenant environments.
Principal Engineer leading AI-native application development across Intuit's products (TurboTax, Credit Karma). Drives end-to-end technology initiatives, designs scalable distributed systems, and applies AI/LLM technologies to customer problems.… Requires 8+ years developing software for large enterprises, 5+ years designing complex distributed systems, full-stack development experience with AI tools, and proficiency across front-end (React, Angular, SwiftUI, Kotlin), back-end (Java, TypeScript, Spring, Express), and cloud platforms (AWS, GCP).
Shield AI seeks a Senior Engineer to design, develop, and integrate safety-critical Run-Time Assurance (RTA) software for autonomous aircraft and platforms. You will develop real-time C++ code, integrate reusable safety capabilities into production systems, conduct hardware-in-the-loop testing, and support flight-test campaigns for the X-BAT collaborative combat aircraft.… The role requires 5+ years of embedded/autonomy software experience, strong C++ and modern development practices, and the ability to build high-assurance, real-time systems that operate at the boundary between mission autonomy, middleware, and flight-control interfaces.
Lead large-scale enterprise data transformation programs at Qualcomm, managing multi-year initiatives across data modernization, cloud migration, and analytics platforms. Coordinate work across distributed data engineering, architecture, governance, security, and analytics teams while managing multi-million-dollar budgets and vendor relationships.… Drive adoption of modern data architectures (data lakehouse, data mesh, medallion patterns) and cloud platforms (Databricks, AWS, Azure, GCP), and establish federated data governance frameworks. Influence executives and technical stakeholders to deliver measurable business outcomes while handling legacy system retirement and enterprise data integration from CRM, ERP, HCM, and supply-chain systems.
Senior Graphics Programmer responsible for developing and optimizing real-time rendering systems for MLB The Show on iOS and Android. You will write and optimize the mobile rendering engine, debug graphics and performance issues, implement visual features, and ensure full utilization of platform-specific capabilities across Apple and Android ecosystems.… The role demands expertise in low-level graphics APIs (Metal, Vulkan), GPU shader programming, performance profiling, and the ability to ship high-quality graphics on constrained mobile hardware across a wide range of devices.
Lead product strategy and roadmap for AI-centric data center platforms and rack-level systems, including compute nodes, interconnect fabrics, power delivery, and cooling. Define system-level requirements by collaborating with silicon architects, systems engineers, and software teams while engaging directly with hyperscale and enterprise customers to gather feedback and drive early deployments.… Track product performance post-launch across system metrics like power efficiency and thermal headroom, and mentor a high-performing product management team.
As a Senior AI Engineer at Teradata, you will design and build agent-based AI solutions that enhance developer productivity, working on AI agents and platforms across the Software Development Lifecycle. You'll develop scalable, reliable systems with strong proficiency in backend technologies (Java, Go, Python), design RESTful APIs, work with SQL/NoSQL databases, and apply AI/ML technologies including agentic AI and LLMs.… The role requires 5+ years of experience in backend services, distributed systems, or data platform development, with hands-on expertise in Kubernetes, containerization, and cloud platforms. You will collaborate with cross-functional teams, mentor engineers, and stay current with emerging AI/ML and cloud-native technologies.
Cloudflare seeks a Senior Customer Engineer to serve major accounts in the Southwest, acting as a trusted technical advisor on enterprise network and security architectures. The role combines deep consultative skills with hands-on technical expertise across Internet fundamentals, security, performance, and developer platforms—translating complex technical concepts into business outcomes for both engineering teams and C-suite executives.… The engineer will demonstrate architectural breadth in at least four domains (OSI layers, BGP, WAF, Zero Trust, caching, AI/LLM workflows, scripting, or cloud-native development) and drive customer adoption through technical enablement, custom integrations, and solutions design. This is a quota-carrying, revenue-aligned customer-facing role requiring exceptional communication, SaaS business acumen, and the ability to navigate full-lifecycle enterprise sales cycles.
Staff engineer responsible for designing and developing CPU software architecture for Qualcomm's custom processors across mobile, laptop, automotive, cloud, and server products. Will work on ARMv9 architecture features, participate in hardware-software co-design, system optimization, and firmware development.… The role requires strong C/C++ programming skills, deep understanding of ARM CPU architecture (ARMv8/v9), and experience with embedded systems, Linux/RTOS development, and performance optimization for ARM-based SoCs.
As a Staff Machine Learning Engineer focused on model optimization, you will create and implement ML techniques, frameworks, and tools enabling efficient discovery and deployment of state-of-the-art ML solutions across mobile, edge, auto, and IoT products. You will model, architect, and develop advanced ML hardware co-designed with software, develop optimized inference/training software and compiler tools, and collaborate with cross-functional teams on joint hardware-software design.… The role requires 4+ years of hardware/software/systems engineering experience (or equivalent with advanced degree), deep expertise in ML frameworks (TensorFlow, PyTorch, Keras, Caffe), embedded systems optimization, and programming languages like Python or C++. You will work independently with minimal supervision, provide technical guidance to team members, and influence key organizational decisions through consultation with senior leadership.
This R&D internship focuses on designing and implementing automated QA and regression testing frameworks for complex engineering software. The intern will develop test automation solutions integrated with Jenkins CI/CD pipelines, create functional and integration test suites, analyze results, and collaborate with development teams to improve product quality and development efficiency.… Required skills include proficiency in modern languages (C#, Python, Java, or C++), understanding of software testing concepts, Git version control, and strong problem-solving abilities.
Design and develop advanced machine learning models for automotive radar signal processing, including end-to-end ML pipelines from data preprocessing through model training, validation, and performance optimization. Evaluate novel deep learning architectures (CNNs, RNNs, Transformers) for radar data analysis and optimize models for real-time embedded deployment under latency, memory, and power constraints.… Bridge research and production by translating state-of-the-art ML techniques into scalable algorithms for radar-based detection, classification, and tracking, with strong requirements in signal processing, statistical analysis, and Python/PyTorch/TensorFlow proficiency.
Design, develop, and deliver software capabilities across the full delivery pipeline—from design through automated testing to production deployment—for secure, mission-critical DoD systems. Code in Python, Java, C#, Go, or C++; implement modern architectural patterns (Microservices, Event-Driven, Serverless); and apply DevSecOps principles with automated security testing (SAST, DAST, SCA, container scanners) as CI/CD quality gates.… Requires 5+ years of Agile software development, 2+ years of DevSecOps in regulated government/DoD environments, and 2+ years working with resilient architectures in DDIL and afloat/ashore PaaS environments including Cross-Domain Solutions integration.
Design, develop, and deliver software capabilities across the full delivery pipeline—from design through automated testing to production deployment—for secure, mission-critical DoD systems. Code in Python, Java, C#, Go, or C++, implement modern architectural patterns (Microservices, Event-Driven, Serverless), and manage Git-based workflows.… Participate in end-to-end delivery using Agile frameworks (Scrum, Kanban, SAFe) to Kubernetes, cloud, or virtualized environments. Apply DevSecOps principles, configuring automated security testing tools (SAST, DAST, SCA, container scanners) as CI/CD quality gates in regulated government/DoD environments, and maintain resilient architectures for DDIL and PaaS platforms with Cross-Domain Solutions integration.
Senior Software Engineer on Raytheon's Radar Digital Product Line (RDPL) team, designing and developing real-time C++ radar software in a DevSecOps environment. Responsibilities include collaborating with Scrum teams on tactical radar systems, executing software integration testing using Jenkins and Linux tools, developing automation scripts in Python/Bash/Perl, and contributing to architectural decisions.… Requires minimum 5 years of software engineering experience, proficiency in C++ and Object-Oriented Design, and hands-on Linux development with DevSecOps tooling.