Internship focused on developing and optimizing Skydio's embedded hardware-in-the-loop (HIL) system, including Python test framework, CI integration, and physical test stations.
Compensation
The hourly rate for this position is $47/hr for Undergrad, $53/hr for Graduate students, and $70/hr for PhD students*
Responsibilities
Contribute to the architecture and roadmap of the HIL test framework and its integration with CI
Design and build new test stations and fixtures and bring new products onto the HIL
Partner with firmware, platform and product teams to turn their validation needs into reliable automated tests
Develop new critical use cases to expand hardware validation and development to more broad teams
Triage failing runs, separate infrastructure problems from product regressions, and route real bugs to the right team
Lead technical design and implementation of Ansible Automation Platform for a large Singapore financial institution, driving orchestration, agentless patching, and client handover.
Responsibilities
Own the Ansible framework architecture and design high‑level and low‑level components
Lead senior automation engineers and ServiceNow engineers in building the solution
Deliver workflow templates for ServiceNow change gate and evidence generation
Set standards for execution environments, collections and content‑as‑code in GitHub Enterprise and JFrog
Drive agentless canaries for ESXi host evacuation, patching and network firmware updates
Requirements
Nice to have: Red Hat certifications (RHCE, EX374, EX467)
Nice to have: Agentless patching for VMware ESXi, vCenter, Nutanix, Cisco, F5, Palo Alto, Juniper
Lead Platform Engineer responsible for technical leadership and operational ownership of major data platform domains within D.R. Horton’s Data & AI Foundation.
Responsibilities
Lead engineering and operational ownership for major data platform domains, establishing technical standards for security, reliability, automation, workload management, observability, resilience, recovery, capacity, and cost governance
Lead design and implementation of reusable platform services and automation using Python and/or other modern languages, APIs, infrastructure-as-code, CI/CD, Git-based workflows, testing, and configuration management
Define and drive SRE/DataOps practices including SLIs, SLOs, service tiers, incident response, root-cause analysis, postmortems, automated remediation, availability, and recovery objectives
Lead technical design for platform capabilities supporting analytics, machine learning, generative AI, semantic search, RAG, agents, model endpoints, vector services, model gateways, and intelligent applications
Establish operational patterns for AI/ML services including deployment, inference, secrets, workload isolation, quotas, evaluation, monitoring, versioning, rollback, and lifecycle management
Lead the NLP and unstructured‑data engineering foundation for Market Research, building pipelines, enrichment, and retrieval systems to support AI‑ready data for research agents.
Compensation
$159,000 - $233,200
Responsibilities
Build and run NLP and unstructured‑data pipelines on Databricks
Design and operate production NLP and text pipelines
Stand up enrichment and embedding layers
Own retrieval/RAG data foundation
Ensure data governance and compliance
Requirements
Bachelor's degree in Computer Science, Data Engineering, or a related technical discipline
Nice to have: Experience with lakehouse/medallion architectures
Nice to have: Experience in regulated or healthcare data environments
Nice to have: Experience mentoring or leading engineers
Nice to have: Experience with policy‑as‑code (OPA/Rego)
Design, build, and operate OCI Compute control plane services with focus on Imaging and Container Registry.
Compensation
US: Hiring Range in USD from: $126,200 to $264,100 per annum. May be eligible for bonus, equity, and compensation deferral.
Responsibilities
Design, implement, and operate resilient distributed services that support multi-tenancy, horizontal scaling, predictable performance, and cost efficiency.
Lead technical projects within Imaging and Container Registry, translating requirements into designs, implementation plans, and production-ready capabilities.
Collaborate with Compute, Storage, Networking, Oracle Kubernetes Engine (OKE), and OCI Functions teams to deliver platform features and resolve technical dependencies.
Apply secure-by-default design principles, including tenant isolation, authentication, authorization, and secure image and artifact lifecycle management.
Improve service-level objectives for availability, latency, and durability through observability, automation, capacity planning, and recovery mechanisms.
Requirements
BS or MS in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
Nice to have: cloud control planes
Nice to have: container technologies
Nice to have: container image formats
Nice to have: image or artifact lifecycle management
company-sponsored 401(k); pension; vacation benefits; medical, dental, vision and prescription drug benefits; flexible benefits; life insurance and death benefits; time off and leave of absence benefits; well-being benefits such as employee assistance program, fitness benefits, and employee clubs and activities
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