Design and optimize machine learning models for deployment on edge devices including smartphones, IoT, and automotive platforms. Build end-to-end experimentation pipelines, benchmark models on real hardware, and work with cross-functional teams to move innovations into production.… The role emphasizes model optimization for constrained hardware environments, hardware benchmarking, and research contributions through publications and patents.
Design, train, and optimize machine learning models for 5G, wireless, and multimedia telecommunications products. Explore novel deep learning and signal processing techniques, conduct large-scale experiments, and translate research into production-ready solutions.… Requires strong background in machine learning, deep learning, and signal processing, with experience developing models for edge devices and chipsets.
Staff Engineer responsible for designing and building scalable test automation frameworks and CI/CD infrastructure for machine-learning systems at scale. The role requires expertise validating ML quality across the full lifecycle (data, training, evaluation, packaging, deployment, monitoring), GPU-accelerated workloads in Kubernetes, and integrated hardware-software systems.… You will develop automated evaluation suites, performance baselines, release thresholds, and observability solutions while mentoring teams on ML testing best practices and dependency/reproducibility standards.
Staff Engineer responsible for designing and implementing scalable test automation frameworks and infrastructure for machine learning systems across multiple engineering teams. The role requires expertise in validating ML pipelines across data, training, evaluation, deployment, and monitoring; testing GPU-accelerated workloads in Kubernetes; qualifying integrated hardware and software systems; and developing comprehensive integration and regression strategies.… Deep experience with Python automation, distributed systems testing, performance profiling, and observability is essential, along with strong system-design skills for complex, multi-tenant environments.
Lead enterprise AI platform strategy and execution at a biotech company, driving end-to-end program delivery across engineering, data, cybersecurity, and product teams. Own platform health, KPIs, and telemetry; establish governance, safety guardrails, and regulatory compliance for AI-enabled solutions in a regulated environment.… Define multi-year AI roadmaps, coordinate cross-functional dependencies, and orchestrate Agile delivery while partnering with legal, compliance, and tech enablement to ensure scalability, security, and enterprise adoption.
Lead product strategy and roadmap for AI-centric data center platforms and rack-level systems, including compute nodes, interconnect fabrics, power delivery, and cooling. Define system-level requirements by collaborating with silicon architects, systems engineers, and software teams while engaging directly with hyperscale and enterprise customers to gather feedback and drive early deployments.… Track product performance post-launch across system metrics like power efficiency and thermal headroom, and mentor a high-performing product management team.
As a Senior AI Engineer at Teradata, you will design and build agent-based AI solutions that enhance developer productivity, working on AI agents and platforms across the Software Development Lifecycle. You'll develop scalable, reliable systems with strong proficiency in backend technologies (Java, Go, Python), design RESTful APIs, work with SQL/NoSQL databases, and apply AI/ML technologies including agentic AI and LLMs.… The role requires 5+ years of experience in backend services, distributed systems, or data platform development, with hands-on expertise in Kubernetes, containerization, and cloud platforms. You will collaborate with cross-functional teams, mentor engineers, and stay current with emerging AI/ML and cloud-native technologies.
As a Staff Machine Learning Engineer focused on model optimization, you will create and implement ML techniques, frameworks, and tools enabling efficient discovery and deployment of state-of-the-art ML solutions across mobile, edge, auto, and IoT products. You will model, architect, and develop advanced ML hardware co-designed with software, develop optimized inference/training software and compiler tools, and collaborate with cross-functional teams on joint hardware-software design.… The role requires 4+ years of hardware/software/systems engineering experience (or equivalent with advanced degree), deep expertise in ML frameworks (TensorFlow, PyTorch, Keras, Caffe), embedded systems optimization, and programming languages like Python or C++. You will work independently with minimal supervision, provide technical guidance to team members, and influence key organizational decisions through consultation with senior leadership.
Design and develop advanced machine learning models for automotive radar signal processing, including end-to-end ML pipelines from data preprocessing through model training, validation, and performance optimization. Evaluate novel deep learning architectures (CNNs, RNNs, Transformers) for radar data analysis and optimize models for real-time embedded deployment under latency, memory, and power constraints.… Bridge research and production by translating state-of-the-art ML techniques into scalable algorithms for radar-based detection, classification, and tracking, with strong requirements in signal processing, statistical analysis, and Python/PyTorch/TensorFlow proficiency.
Design, develop, and deliver enterprise reporting and analytics solutions using Power BI and Snowflake for a large-scale ERP implementation. The role requires 2+ years of hands-on Power BI development (Desktop, Service, DAX, Power Query, data modeling, performance tuning) and 2+ years of Snowflake experience (SQL, querying, views, enterprise data models).… Translate business requirements into intuitive dashboards and reports with row-level security, working closely with functional teams, business analysts, and project stakeholders across Finance, Procurement, HR, or Supply Chain domains.
The Senior EPIC Analyst I – Professional Billing & Claims configures, maintains, and optimizes Epic Professional Billing and Claims applications to support revenue cycle operations in a healthcare environment. Responsibilities include analyzing business requirements, designing Epic workflows, performing system testing, troubleshooting billing and claims issues, and documenting system changes.… The role requires expertise in Epic Professional Billing configuration, revenue cycle and billing knowledge (professional fee billing, claims processing, payer rules, coding), and strong collaboration with clinical, operational, and finance teams to provide end-user support and drive process improvements.
Lead and manage a team of IT engineers while driving the design, development, and implementation of IT infrastructure, systems, and applications. Ensure IT solutions align with company objectives, maintain engineering standards and policies, and optimize system performance and security.… Collaborate cross-functionally to understand IT requirements and evaluate emerging technologies for adoption. Monitor vendor relationships, manage contracts, and lead initiatives to enhance IT capabilities and competitiveness.
Information Systems Analyst II supports end-user operations by providing hardware and software technical support, supervising technical support personnel, and performing systems problem-solving and design analysis. The role requires two years of professional-level information systems planning and management experience, including systems design, analysis, and technical assistance across multiple platforms.… Candidates must hold a bachelor's degree or equivalent and be prepared for pre-employment screening including medical review and fingerprinting.
The Cyber Counter Intelligence Analyst role involves conducting cyber counterintelligence analysis to identify, assess, and mitigate foreign intelligence threats targeting US networks and communications infrastructure. The analyst will utilize classified and unclassified databases, intelligence research tools, and analytic tradecraft to support ongoing cyber/information operations, assess adversary capabilities and intentions, and provide recommendations to leadership.… Responsibilities include comprehensive analysis of cyber incidents, evaluation of computer network exploitation and attack methodologies, and coordination with DoD and national-level agencies.
The Senior Security AI Risk Analyst will assess and secure AI-enabled systems at Sony Interactive Entertainment, identifying material security risks, control gaps, and data classification issues. The role requires translating findings into actionable recommendations, partnering with Responsible AI & Governance and security teams, and maintaining a portfolio view of emerging AI security trends.… Candidates must have 6+ years securing technical systems with recent hands-on generative AI experience, strong knowledge of modern AI stacks, and the ability to interrogate designs, trace data flows, and identify security weaknesses in LLM and agentic systems. The position demands both deep security fundamentals (identity, permissions, data protection, monitoring) and a practical builder mindset to use tooling, APIs, and automation to explore and improve systems.
Design and develop performance modeling platforms and tools for Qualcomm's AI/ML hardware accelerators targeting cloud data server applications. Analyze and optimize LLM and AI workloads on SoC architectures, working across hardware architecture, DDR memory controllers, NoC design, and compiler frameworks.… Collaborate with multi-disciplinary hardware and systems engineers to find optimal architecture tradeoffs and improve performance and power efficiency. Apply deep expertise in AI workloads, ML frameworks, computer architecture, and RTL design/verification to build systems that validate LLMs and complex ML networks.
Lead and manage a team of IT engineers while driving the design, implementation, and maintenance of IT infrastructure, systems, and applications. Responsibilities include planning scalable and secure IT solutions, collaborating across departments to understand technical requirements, evaluating emerging technologies, establishing engineering standards and procedures, monitoring system performance, and managing vendor relationships.… Requires 5+ years of IT engineering experience with a focus on system design and infrastructure management, plus 2+ years in a leadership/managerial role.
Senior or intermediate-level business applications analyst supporting airport operations through enterprise system configuration, requirements development, and business process integration. The role involves designing specifications for business systems, developing and testing reports using Power BI or Crystal Reports, supporting ERP platforms like PMWeb or Oracle JD Edwards, and troubleshooting complex system challenges.… Candidates should have 3–5 years of progressively responsible experience with business applications, SQL, and enterprise platforms; senior-level candidates provide technical guidance and work with greater autonomy on complex assignments.
The Business Applications Analyst will develop requirements and design specifications for enterprise business systems, support testing and report development using tools like Power BI and Crystal Reports, and troubleshoot complex system challenges across airport operations. The role involves configuring and testing ERP applications (such as PMWeb), designing end-to-end business processes, and creating integrations and automation solutions.… The Senior level requires greater independence, technical leadership, and mentorship of team members. This is a hands-on role requiring a computer science or MIS degree and progressively responsible experience with enterprise application development and business systems.
A forward-deployed engineer who builds and deploys AI/GenAI-powered solutions on Databricks and cloud platforms for forensic discovery and financial crime clients. The role requires hands-on expertise in Databricks, cloud services (AWS/Azure/GCP), and production AI/LLM systems, combined with the ability to lead client engagements, translate business requirements into technical architectures, and troubleshoot integration issues across enterprise environments.… You will design reusable assets, document workflows, and enable client teams to sustain delivered solutions while navigating security, compliance, and privacy reviews.
Develop scalable AI engineering patterns and production-quality code for government clients, balancing quality, safety, latency, cost, and model risk. Apply strong practices in testing, CI/CD, logging, versioning, and documentation while designing extensible functionality aligned with senior team members.… Requires 4+ years of software/data engineering experience, 1+ year building and deploying GenAI or LLM solutions, and 1+ year with Google Cloud (Gemini API, Vertex AI Agent Builder, Grounding, or Google Workspace integration). Lead project workstreams, translate business problems into AI solutions, and contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.
AMD seeks a security engineer to implement, validate, and secure AI platform features on internal test hardware and customer systems. The role spans hardware, firmware, and software security—including secure boot, attestation, key/certificate management, vulnerability analysis, and fix development and verification.… You will conduct security assessments, develop tooling and automation for testing and remediation, and partner across architecture, firmware, and software teams. The position requires proficiency in C/C++ and scripting languages, deep platform security knowledge (cryptography, memory safety, isolation, trusted execution environments), and experience with AI/ML infrastructure security.
AMD is seeking an AI Systems Security Architect to drive system-wide threat modeling and security analysis across hardware, firmware, and software platforms. The role involves designing secure debug architectures, writing platform security specifications, and leveraging AI-assisted engineering tooling to accelerate security analysis.… The ideal candidate has deep expertise in computer architecture, confidential computing, root of trust, boot chain architecture, firmware security, cryptography, and threat modeling at platform scope, with proficiency in C/C++ and experience securing AI/ML workloads at datacenter scale.
Sr. Engineer responsible for designing, building, and deploying production-grade AI platforms and solutions centered on LLMs, RAG, and agentic workflows.… The role spans full-stack development—from backend services and APIs to cloud-native infrastructure on Kubernetes—with emphasis on enterprise search, retrieval optimization, and AI application integration. Must have strong programming skills across Python, Java, C#/.NET, Rust, TypeScript/JavaScript, and proven experience architecting and operating scalable, production-ready AI systems.
Senior Staff Inbound Product Manager responsible for owning the roadmap, vision, and requirements for conversational AI features within ServiceNow's AI platform. The role requires translating customer feedback into product improvements, guiding product strategy across multiple teams, and steering the development of AI features including disambiguation, clarification, document/multimodal experiences, slot filling, feedback intelligence, and fallback handling.… Success requires 12+ years of enterprise product management experience, deep knowledge of conversational AI, generative AI, and agentic systems, plus hands-on experience with AI evaluation, prompt engineering, retrieval systems, and knowledge bases. The person will create PRDs, define testing and quality requirements, support strategic customers through pilots and go-lives, and coordinate dependencies across engineering and design teams.