Full-stack Engineer

• Contribute to embedded firmware development in C/C++ on Sonos products
• Implement well-scoped features and bug fixes with guidance from senior engineers
• Debug issues in embedded environments using logs, traces, and reproduction steps while developing root-cause analysis skills
• Collaborate with teammates across software, hardware, QA, product, and other cross-functional teams to deliver reliable releases
• Participate in code reviews and learn Sonos development and quality practices
• Help improve maintainability and reliability through testing, tooling, automation, and incremental refactoring
• Contribute to APIs, software integrations, and platform capabilities that support Sonos products and services
• Support the development of new features and enhancements across the Sonos ecosystem
• Learn and contribute to systems that enable music playback, device communication, partner integrations, and customer-facing experiences

Junior Embedded Software Development Engineer

• Technical Leadership & Architecture: Define the long-term technical vision and architectural roadmap for FuzeRx’s B2B and consumer platforms. Drive decisions around microservices design, API design, database schemas, and data pipelines.
• Engineering Excellence & Code Quality: Lead by example by writing clean, highly optimized, and maintainable code for critical system components. Establish engineering standards, champion rigorous code reviews, and advocate for modern testing practices.
• System Scalability & Performance: Own the reliability and performance of our core platforms. Diagnose and resolve complex systemic issues, optimize heavy PostgreSQL workloads, and architect high-throughput infrastructure on AWS.
• Cross-Squad Force Multiplier: Act as a technical consultant and mentor to engineers across multiple squads. Break down ambiguous, massive technical problems into actionable execution phases that junior and senior engineers can successfully deliver.
• Cross-Functional Collaboration: Partner closely with Product Managers, Pharmacy Operations, and Engineering Managers to evaluate technical feasibility, de-risk complex roadmaps, and align technology choices with business objectives.
• Security & Compliance Safeguarding: Architect systems with privacy by design. Ensure our codebase, data-at-rest, and data-in-transit adhere strictly to healthcare regulations (e.g., HIPAA, SOC2), safeguarding sensitive patient data.
• Innovation & R&D: Evaluate emerging technologies, frameworks, and patterns. Build prototypes and proofs-of-concept (POCs) to derisk new initiatives before they are rolled out to the wider engineering team.

Staff Software Engineer – Fuze Health

• Work collaboratively with clients, vendors, contractors, and other Project Farma Team Members to support projects related to biomanufacturing across the entire engineering lifecycle.
• Apply advanced technical skills to meet project team and client needs for developing/maintaining project schedules and monitoring project performance.
• Interfacing directly with project management, client management, and site personnel for the development of detailed integrated schedules.
• Deliver high quality work and maintain valuable relationships with clients while strengthening technical and industry knowledge.
• Lead key project controls deliverables including project plans, execution schedules, activity tracking, budget estimates, cost reports, and scenario analysis reports.

Project Controls – Engineer III/Lead Engineer

• Architect and implement the technical roadmap for the Security Data Platform
• Lead the hands-on development of scalable, secure, and reliable platform capabilities
• Partner with data producers to architect high-quality data ingestion patterns
• Act as a technical consultant for internal stakeholders
• Define and implement robust monitoring and automated testing frameworks
• Conduct rigorous code reviews and define best practices

Software Engineering, SMTS

• Contribute to the development and deployment of digital employee experiences across HR technology platforms including Cornerstone, LMS tools, and Workday
• Assist in building integrations between HR enterprise systems (Workday, Cornerstone, LMS) and internal/external applications using RESTful APIs, SOAP, GraphQL, and message queues
• Support the implementation of AI technologies and tools (e.g., LLMs, recommendation engines, intelligent automation) to enhance HR software capabilities and improve employee self-service
• Collaborate with cross-functional teams including HR business partners, data analysts, and ET stakeholders to translate people-operations requirements into actionable software solutions
• Help identify feature gaps between enterprise HR systems and contribute to remediation plans and custom solutions that meet end users where they are
• Write efficient and maintainable code in support of enterprise-scale HR systems and services
• Produce and maintain technical documentation for integrations between enterprise-level HR applications
• Utilize software DevOps technologies and CI/CD best practices to support software automation and deployment
• Contribute to automations that reduce manual HR operational toil and streamline workflows across the HR technology stack
• Work alongside SRE teams and apply SRE principles to help ensure HR systems meet reliability and availability standards
• Participate in code reviews and technical discussions, learning from and contributing to the team's engineering practices
• Stay current with emerging HR technology trends, AI/ML advancements, and digital experience methodologies

Software Development Engineer III

• Architect, design, develop, and integrate core flight software for a next-generation satellite platform
• Define scalable, reusable, and platform-independent flight software frameworks, services, and design patterns to support multiple spacecraft configurations and future growth
• Architect, develop, and evolve key flight software components including core services, command and data handling (C&DH), telemetry, health monitoring, and fault-management infrastructure
• Establish software architecture standards, coding guidelines, design patterns, and review practices to ensure maintainability, reliability, and mission readiness
• Partner closely with systems, avionics, GNC, communications, power, propulsion, thermal, payload, and autonomy teams to translate vehicle and subsystem-level requirements into robust software implementations
• Conduct software design reviews, code reviews, and technical trade studies related to performance, fault tolerance, redundancy, scalability, and portability
• Support software integration, verification, and validation in software-in-the-loop (SIL), hardware-in-the-loop (HIL), and other mission-representative test environments
• Develop and improve software engineering infrastructure including build systems, CI/CD pipelines, automated test frameworks, and debugging/diagnostic tools
• Contribute to technical documentation including software architecture descriptions, interface control documents, verification plans, and test procedures
• Design and implement secure OTA software update capabilities for spacecraft, including validation, authenticated delivery, rollback, version control, and safe deployment in mission-critical on-orbit environments
• Ensure flight software architecture and implementation incorporate cybersecurity principles such as secure communications, access control, interface hardening, and resilient software design

Principal Satellite Flight Software Engineer

• Support the development and operations of New Glenn, a heavy-lift orbital launch vehicle
• Develop flight software and tools for various spaceflight systems
• Work on vehicle avionics and ground systems
• Responsible for requirements, design, implementation, integration and testing of various software components and tools critical for mission success

Senior Embedded Software Engineer – New Glenn Avionics

• Design and implement APIs, data pipelines, and simulation runtime logic
• Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular
• Write clean, testable, and maintainable code following secure coding and software engineering best practices
• Build and integrate modular microservices to improve scalability, maintainability, and interoperability
• Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines
• Implement Infrastructure-as-Code and automation scripts
• Contribute to secure deployments across hybrid or disconnected environments
• Develop distributed systems and data integration frameworks using message buses
• Engineer data flow between analytic, AI, and simulation components
• Collaborate with system engineers and architects to ensure interoperability across software ecosystems
• Build and manage databases and model complex data relationships
• Write, test, and deploy software within secure or classified environments

AI/ML Software Engineer

• Train, fine-tune, optimize and customize perception DNNs in low precision (FP16/INT8)
• Apply sophisticated quantization of DNNs
• Improve DNN architectures using ML algorithms on NVIDIA GPUs or DLAs
• Continuously improve inference speed, accuracy and power consumption of DNNs
• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new insights to improve NVIDIA's automotive DNNs.

Senior Deep Learning Software Engineer – Autonomous Vehicles

• Drive end-to-end performance and scale characterization for the NVIDIA DGX Cloud software stack
• Collaborate with AI researchers, developers and customers to develop innovative, automated tests
• Deep dive into performance and scale issues in complex distributed systems
• Design and develop monitoring, reporting and analysis tools for performance and scale testing
• Triage, debug and root cause issues related to operating Kubernetes clusters at ultra-large scale
• Build and maintain a high-velocity framework that enables continuous, always-on performance and scale testing
• Document research, methodologies and results clearly
• Engage efficiently with upstream communities

Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud

• Develop software systems to support large scale deployments of cloud infrastructure
• Design and develop APIs to support Infrastructure as Code (IaC) automation and deployment workflows.
• Responsible for contributing to multiple source code projects to fulfill NVIDIA requirements with software services
• Work and collaborate with engineering managers, architects, designers, and frontend engineers to deliver high quality software
• Automate the validation of software solutions with unit and integration tests
• Participate in the ownership and health of CI/CD pipelines from dev to production environments
• Collaborate with other specialists for feedback on proposed designs and product direction
• Openly share successes and failures in a no blame environment

Cloud Platform Software Engineer – Platform APIs

• Direct the building and refinement of CAPI providers for NVIDIA Kubernetes Engine, maintaining steady, consistent, and scalable node provisioning across DGX Cloud and NCP environments
• Develop and maintain bring-your-own-node workflows that allow customers to integrate different NVIDIA hardware into NKE clusters while ensuring high operational consistency
• Coordinate OS image generation, packaging, deployment, and update processes for NKE nodes
• Ensure images are fine-tuned for NVIDIA GPU workloads and satisfy enterprise- and cloud-grade security and compliance criteria
• Develop and sustain node image hardening pipelines, incorporating CIS benchmarks, automated CVE remediation, and promotion gates connected to security posture
• Develop and maintain automated test suites for node images
• Handle nodepool lifecycle at scale, including provisioning, upgrades, drain and cordon workflows, and seamless node replacement across very large clusters with diverse NVIDIA hardware
• Examine, resolve, and determine underlying causes of node-layer faults in production NKE clusters
• Communicate your progress and findings at internal and external gatherings such as KubeCon and GTC

Senior Systems Software Engineer – Kubernetes Node Lifecycle

• Design and develop AI-powered applications and services, focusing on generative AI and LLMs.
• Implement services for generative AI integrations, document parsing, model fine tuning, and RAG systems.
• Identify opportunities where AI reduces friction, increases efficiency, and solves real-world challenges.
• Track and apply advancements in the AI landscape, guiding strategy and adoption.
• Contribute to the vision, goals, and roadmap for AI/ML development as an individual contributor.

Software Engineer – AI

• Lead by doing: Roll your sleeves up and build alongside the team, know the ins and outs of the product.
• Own the roadmap: Partner with Product and Design to prioritize the right features—balancing usability, scalability, and measurable real-world impact.
• Build for scale & trust: Ensure the platform is secure, composable, and capable of supporting governments and utilities nationwide.
• Elevate the resident experience: Deliver features that make it easier for families to stay on track—like flexible installments, smart reminders, and personalized plans.
• Stay hands-on: Dive into technical details when needed, from debugging production issues to optimizing system performance.
• Automate what matters: Leverage AI and automation to eliminate inefficiencies, reduce operational overhead, and free teams to focus on what counts.
• Collaborate cross-functionally: Partner with Customer Success and Operations to ensure seamless deployments and reliable performance in the field.
• Raise the bar: Define and enforce standards for engineering quality, system reliability, and collaborative excellence.

Software Engineering Lead

• Build and own our GCP infrastructure, Kubernetes clusters, and Terraform IaC
• Own CI/CD across all services — end to end
• Build internal platforms and tooling that help product engineers ship with less friction
• Use AI to automate platform work that used to require a human
• Respond to incidents, own the postmortem, and close the loop so they don't repeat
• Partner with Engineering, IT, and Security to build the pipelines our products run on

Software Engineer – Platform & Infrastructure

• Design, develop, and maintain backend systems using Scala, leveraging Kubernetes for container orchestration
• Architect, deploy, and manage backend applications in a Kubernetes environment to ensure scalability, availability, and resilience
• Implement and enhance microservices architecture for trading applications, promoting modularity and maintainability
• Develop distributed systems to support high-performance and low-latency trading platform requirements
• Implement robust monitoring and logging solutions to track and analyze backend system performance in real time
• Integrate backend systems with various market data feeds, ensuring accurate and timely data for trading activities
• Collaborate with cross-functional teams, including frontend developers, UX/UI designers, and other engineers, to deliver end-to-end trading solutions
• Create and maintain technical documentation for backend systems, Kubernetes configurations, and deployment procedures
• Work directly with project managers to help deliver solutions

Senior Software Engineer II, Trading Services

• Build and operate scalable data platforms and shared data products that power Zillow’s next generation of AI experiences
• Own and evolve trace and event data foundations that support analytics, online and offline evaluation, observability, governance, and future learning workflows
• Design and operate production-grade batch, streaming, and near-real-time data pipelines using Databricks, Spark, Python, SQL, and modern lakehouse patterns
• Improve platform reliability through schema management, data quality validation, alerting, anomaly detection, and production support for business-critical AI data products
• Partner with engineering, analytics, and science teams to turn evolving AI data needs into reusable infrastructure and governed data products
• Help define the long-term architecture for AI data systems, including data contracts, eventing patterns, retention approaches, and cleaner downstream interfaces

Senior Software Development Engineer, Agentic AI Data Services

• Partner with Product Managers and Designers to ideate, build, and launch new features for our developer ecosystem
• Build and ship high-quality, production-grade software using modern engineering practices
• Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows
• Mentor engineers and provide thoughtful, in-depth code reviews

Full Stack Engineer, Staff Platform Development

• As Software Engineer on the Virtual Test Platforms team, help to define, implement, deploy and support virtualization technology products and services.
• Collaborate with teams and engineers across GM.
• Lead the technical strategy, architecture, and delivery of Virtual Tooling, emulator capabilities, simulation components, and supporting infrastructure.
• Mentor and grow engineers across levels through design reviews, technical guidance, coaching, and example-setting.

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