Shield AI’s mission is to protect the lives of service members and civilians with intelligent systems. The Hardware Test Engineering team contributes to this effort by designing test solutions that drive high hardware reliability on our V‑BAT vehicle.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Architect, design, and develop software drivers and interfaces in Python for hardware systems, including PCBAs, avionics, sensors, and automated test equipment.
Design and implement automated test frameworks to validate aircraft components and subsystems, ensuring scalability, reliability, and repeatability across multiple programs.
Develop and evolve CI/CD pipelines that enable continuous integration, automated validation, and seamless deployment of test stand software.
Build and maintain scalable test infrastructure and shared libraries, promoting modularity, reusability, and consistency across teams and platforms.
Automate system provisioning and configuration management to accelerate deployment and maintenance of new test stands and test environments.
Infrastructure Technical Program Manager to support and deploy one of the world’s largest and most complex telecommunication networks. Responsible for execution of strategic plans to improve business processes, deployment of hyper-scaled cloud infrastructure, and quality control systems for North and South America.
Compensation
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.
Responsibilities
Serve as a key member of the GCID-FD team helping drive overall Network Infrastructure strategy.
Manage vendors to deploy the telecom infra builds on time, measure progress, and rate through quality Key performance Indicators.
Develop a focused quality management program that tracks defects, mitigates risks, standardizes root cause analysis, and implements key performance measures.
Create and standardize reporting mechanisms for the GCID-FD group and provide regular progress updates.
Periodically report on the overall network development program status across the assigned region.
Senior DevOps / DevSecOps Engineer responsible for designing, deploying, and maintaining secure, self-hosted application platforms, automating CI/CD pipelines, and ensuring reliability and security of mission-focused software.
Responsibilities
Lead the design, deployment, and ongoing administration of secure, self-hosted application platforms using tools such as Nomad and Vault.
Develop and maintain reusable deployment specifications, configuration, and automation for microservices and front-end applications.
Drive infrastructure as code, configuration management, and automated environment provisioning across development, integration, and testing environments.
Partner with engineering teams to improve application reliability, release readiness, operational support, and the speed of the development feedback loop.
Collaborate with development teams to containerize and deploy Python, gRPC microservices, and front-end applications.
Requirements
Bachelor's degree in Computer Science, Software Engineering, Cybersecurity, Information Systems, or a related field
Help define, build, launch and land the world's best GPU infrastructure for training and serving AI/ML, driving business growth for Google Cloud Platform (GCP).
Understand the customer journey and their workflows for our target AI/ML workloads. Understand their pain points and how AI/ML infra can address their constraints, know how to shape our product roadmap by building new offerings to drive growth to GCP.
Understand technical challenges and dependencies, working with executives across Google to ensure product launches and deliver an excellent product experience. Partner with ecosystems we work with (machine learning frameworks, orchestration engineers (K8s, Batch, etc.) to create multiple paths to market our portfolio of products.
Build and evolve Go and Python software infrastructure for representing geometric intent and generating physical-process operations.
Locations (2)
Emeryville, California, United States
Santa Clara, California, United States
Compensation
$185,000—$220,000 USD
Responsibilities
Build and evolve Go and Python software infrastructure for representing geometric intent and generating physical-process operations.
Develop reusable geometric representations and algorithms for shapes, regions, coordinate frames, spatial relationships, and process planning.
Work with process experts to turn their knowledge into explicit models, constraints, interfaces, and acceptance criteria, including effects that vary over space or time.
Extend shared capabilities to new processes; keep process-specific behavior explicit and integrate with machine software and fab coordination.
Test geometric and software correctness, make generated results reproducible, and validate assumptions with experts and physical measurements.
Drive product strategy and set product priorities, teaming with engineering and cross-functional teams to define and deliver on the next generation of cloud services.
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