• Provide strategies and solutions for automating operations and identify streamlined software delivery methodology and technology processes. • Maintain continuous integration & continuous delivery (CI/CD) pipelines. • Perform backup, recovery, patching, and ADFS integration. • Certificate Management as well as updates to certificates in production level as well as lower-level environments. • Help in Tier 3 support of the HealthShare Application and related technologies. • Installation and Configuration of InterSystems base software, kits, and patches. • Help support OAuth and SSO configuration and setup.

Role Description Ducks Unlimited, Inc., the world’s leading wetland and waterfowl conservation organization, is seeking a self-motivated, experienced civil engineer to work through its South Atlantic Field Office in Hanahan, SC to serve North Carolina and Virginia. The position will work remotely but must be located in Eastern North Carolina or potentially Southeastern Virginia. Location is preferably to be near Washington, NC to be near a future potential office location in the area. The successful applicant will join a highly motivated conservation team of biologists and engineers who are responsible for the planning, design, and construction of wetland restoration and enhancement projects. Qualifications - B.S. in Civil Engineering or an equivalent degree from an EAC/ABET accredited engineering program - Registered civil engineer - Experience with Civil3D, hydrology, hydraulics, structures/pump station design, erosion control, and construction inspection and management (desirable) - Demonstrated oral, written, and interpersonal communication skills - Self-motivated, goal-oriented, and able to work in close team-based relationships Requirements - Perform a full range of project planning, design, contracting, and construction management functions on wetland, riparian, and associated habitat restoration projects - Supervise engineering staff and provide oversight on various programs - Assist with budget development and ensure quality control of engineering services and standards - Project delivery responsibilities include scoping and proposal development, engineering design, project bidding, field inspection, and occasional construction management - Maintain close working relationships with local, state, and federal personnel, private landowners, and other conservation partners - Occasional travel required Specific Duties - Prepare proposal scope of work and budgets in coordination with biological staff - Interpret, select, adapt, and apply engineering, surveying, and construction management principles and practices - Complete engineering designs and reports as required - Prepare project plans, technical specifications, and cost estimates - Attend project meetings - Conduct field inspection and perform construction management oversight as needed - Ensure that consultants and contractors adhere to project plans, specifications, and schedules - Act as contracting officer, ensure contract compliance, and manage project budgets - Assist with fieldwork as required, which could include strenuous outdoor activity in difficult environmental conditions - Must be able to operate ATV, outboard motor, and boat when necessary To Apply Please fill out all application materials and attach cover letter and resume with references and submit. Equal Opportunity Employer DUCKS UNLIMITED, INC. IS AN EQUAL OPPORTUNITY EMPLOYER. It is the policy of Ducks Unlimited, Inc. to afford equal employment opportunity to all qualified persons regardless of race, color, religion, gender, national origin, military status, disability, age, or genetic information, except where age or gender is a bona fide occupational qualification as allowed by the Civil Rights Act of 1964.

• Design and develop performance testing frameworks for deep learning compilers and workloads • Build and maintain automated pipelines (CI/CD) to continuously track performance across models, hardware, and compiler changes • Implement benchmarking systems to measure latency, throughput, and efficiency of AI and HPC workloads • Analyze performance trends over time and identify regressions, bottlenecks, and optimization opportunities • Partner with compiler and architecture teams to debug and resolve performance issues • Develop tools and dashboards for performance visualization, reporting, and insights • Enable scalable testing across diverse GPU systems and environments • Improve infrastructure to ensure reliable, reproducible, and high-signal performance data

Role Description Incubate and validate new ML initiatives end-to-end. On Innovation, you’ll build adoption-ready prototype vertical slices spanning data flows, model serving, evaluation, and product integration—then hand off clear artifacts so delivery teams can productize and own them long-term. - Build ML prototype vertical slices that connect ingest/processing to inference and visible product outcomes (search, insights, UX flows). - Create evaluation harnesses and decision artifacts: datasets, baselines, quality/latency/cost metrics, and go/no-go recommendations. - Package prototypes for adoption: containerize services, define reproducible deployments, and produce runbooks/checklists. - Partner with Research and Data Engineering on dataset curation, annotation loops, experiment tracking, and safe iteration. - Make prototypes operationally credible: instrumentation, monitoring, and security/compliance basics (PII handling, provenance mindset). Qualifications - 3+ years ML engineering/MLOps experience (level dependent), with evidence of shipping real systems. - Strong Python and hands-on PyTorch/Transformers; comfortable taking models from notebook to reproducible services. - Practical Kubernetes + containers experience; able to deploy and troubleshoot in production-like clusters (including offline/air-gapped constraints). - Strong evaluation discipline and monitoring mindset; comfortable communicating tradeoffs clearly. - Eligible to work in Germany; EU/NATO citizenship preferred and export-control screening applies. Nice‑to‑haves - GPU serving/optimization experience (Triton/KServe, ONNX/TensorRT, batching, quantization). - Streaming/pipeline tooling (Kafka, Ray, Beam/Flink/Spark) and search/vector/graph integrations. - German language (B1+) and/or experience with regulated/public-sector datasets and workflows. Benefits - Modern ML stack in real constraints: Kubernetes, streaming, and hybrid/on-prem/air-gapped deployments. - Remote-first in Germany with regular Berlin workshops, 30 days vacation, equipment & learning budget. - High leverage: your prototypes and handoffs unblock multiple delivery teams.