enior Engineer / Product Specialist – AP Modernization

Role responsible for defining enterprise and technology strategies, designing target-state architectures and transformation roadmaps, evaluating current technology landscapes, supporting cloud adoption and modernization, leading architecture governance, and collaborating with business and technical stakeholders. Requires experience with enterprise architecture frameworks (e.g., TOGAF), cloud platforms (AWS/Azure/OCI/GCP), and knowledge across application, infrastructure, security, and data architecture.

Cloudera Forward Deployed AI Engineer role embeds with customers to develop full-stack AI applications and agentic systems, advise on enterprise AI strategy, codify repeatable solution patterns, and help operationalize models. Requires 5+ years building and deploying production systems (including 2–3 years building Generative AI/agentic applications) and experience across LLMOps/MLOps, foundation models, RAG, model serving, observability, and scalable AI architectures. This position is not eligible for immigration sponsorship or relocation.

Cloudera Forward Deployed AI Engineer embeds with strategic customers to build and productionize full-stack AI and agentic applications, advise on enterprise AI strategy, codify repeatable solution patterns, and contribute to internal enablement. Requires 5+ years building production systems and 2–3 years with generative AI/agentic apps.

The Home Depot seeks a Senior Principal Software Engineer to architect and lead a modular, high-performance mobile ecosystem and an AI Tiger Team focused on AI-first development. Responsibilities include portfolio-level architecture, POCs, mentoring 4–6 direct reports, cross-functional leadership, and driving adoption of technologies such as KMP, SDUI, GraphQL, Spring Boot, GenAI/LLM tooling, and mobile CI/CD. Listed pay range for certain US residents is $170,000–$280,000 per year.

Role to lead architecture, quality, and adoption of an evaluation flywheel for NVIDIA's autonomous vehicle stack. Responsibilities include dataset curation and versioning, metric design and measurement (precision/recall), building self-serve dataset and metric pipelines, and partnering with engineering and AI model teams. Requirements include BS/MS (or equivalent), 12+ years building software with significant experience in autonomous vehicles, robotics, or large-scale ML systems, and strong Python and data engineering skills. Salary range provided: 224,000–356,500 USD/year.

NVIDIA is hiring a Senior Platform Engineer to design, develop, and operate scalable backend services and data platform integrations for customer profile, consent, personalization, campaign, and marketing capabilities. Requires 8+ years of backend and data platform experience, strong skills in Java/Python/Go, NoSQL and relational databases, distributed systems, cloud/containerized environments, API design, observability, CI/CD, and experience with consent-aware customer data flows and marketing activation.

Act as a trusted technical advisor to customers: define Technical Success Plans, support onboarding and adoption, remove technical frictions, align Elastic solutions to business objectives, and identify expansion opportunities to grow ARR. Role is hands-on, collaborative with account, solutions and service teams, and requires a high percentage of onsite customer work and travel.

Responsible for architecting agentic workflow frameworks, shared services (memory, guardrails, vector search), SDKs/CLIs, and operational tooling (Helm charts, operators, CRDs) to enable multi-tenant GenAI applications. Requires senior experience building production AI/ML platforms, working across engineering and research teams, and mentoring other engineers; Capital One may sponsor employment authorization.

Own core transaction processing platform infrastructure for signing and settlement flows, including transaction-ordering and concurrency-control logic, service design, SLOs/alerting/runbooks, and incident response. Write RFCs and coordinate with banking and blockchain engineers. Qualifications: 5–7 years backend engineering experience (systems with strict correctness/ordering guarantees), strong TypeScript (effect.ts preferred), experience with durable workflow/orchestration systems (e.g., Temporal), PostgreSQL, and Kafka. Nice-to-haves include fintech/payments experience, blockchain/custody familiarity, Terraform, and mentoring experience.

Responsible for defining and maintaining embedded software architecture for robotic platforms, leading design and technical decisions, mentoring engineers, and developing real-time embedded software (motion control, sensor fusion, safety, communications). Works on hardware integration, board bring-up, diagnostics, HIL and automated testing, and supports fleet-scale deployments and production reliability. Requires 8+ years embedded software experience and 3+ years technical leadership.