Drive Innovation Jobs

717,682 open positions · Updated daily

The surge in AI, IoT, and edge computing has made Drive Innovation roles the pulse of the tech sector. Companies across finance, healthcare, and manufacturing are investing millions in autonomous decision‑making and real‑time analytics, creating a shortage of talent that can build and scale these systems. Demand for engineers who can turn data into actionable insights at the edge is higher than ever, and the pay reflects that urgency.

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Typical Drive Innovation positions include AI/ML Engineers, Edge Solutions Architects, IoT Product Managers, Quantum Algorithm Developers, and Blockchain Infrastructure Engineers. These roles require crafting end‑to‑end pipelines—from training models in Kubernetes clusters to deploying TensorFlow Lite on Raspberry Pi gateways, from writing Rust‑based firmware for 5G‑enabled sensors to authoring smart‑contract logic in Solidity for supply‑chain tracking. Cross‑functional collaboration with hardware teams, data scientists, and cybersecurity specialists is essential.

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Salary transparency is critical for Drive Innovation professionals because the skill set is highly specialized and the market fluctuates quickly. Knowing the exact compensation ranges for roles like Senior AI Engineer or Edge Lead allows candidates to target opportunities that match their expertise and negotiate confidently. Transparent pay also signals organizational commitment to fairness, attracting talent that will drive long‑term innovation.

Data Engineer

Company: IBM

Location: Vilnius, LT

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting involving data processing systems development, collaboration with cross-functional teams, and expertise in technologies like Python, Apache Spark, and cloud platforms. It specifies educational requirements, technical skills, and salary range for the position.

SAP HANA SCM SD

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This role involves collaborating with clients on SAP solutions, emphasizing innovation, professional growth, and impactful projects within IBM's ecosystem.

Technical Support Representative (Tester)

Company: IBM

Location: Kaohsiung, TW

Posted Dec 09, 2025

This role involves collaborating with clients on system testing and innovation, offering growth opportunities in a supportive environment with emphasis on technical expertise and remote collaboration.

Package Consultant-SAP HANA Master Data Governance

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on collaborative client relationships, innovation in hybrid cloud and AI solutions, and professional growth opportunities. It highlights roles involving SAP expertise, strategic problem-solving, and technology integration across industries.

Package Consultant-Oracle Cloud HCM

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and opportunities for long-term growth. It highlights the role's focus on technical expertise, client relationships, and problem-solving through IBM's technology platforms.

Security Consultant - Biometrics

Company: IBM

Location: Mumbai, IN

Posted Dec 09, 2025

This job description highlights IBM Consulting's focus on innovation, client collaboration, and career growth. It emphasizes working with global clients on hybrid cloud and AI solutions, supported by IBM's technology ecosystem. The role requires technical expertise in biometrics, endpoint management, and scripting, with opportunities for professional development.

Package Consultant-SAP SCM SD

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description outlines a senior SAP Consultant role at IBM Consulting, focusing on delivering technical expertise and innovative solutions to clients. Responsibilities include strategic SAP solution design, comprehensive delivery, and collaboration with clients. Requirements include extensive SAP experience, specific technical skills, and educational qualifications.

Package Consultant-SAP HANA FIN FI

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on global client collaboration, innovation in hybrid cloud and AI, and working within strategic delivery centers. It highlights opportunities to drive technological adoption and emphasizes required expertise in SAP HANA and technical skills development.

Werkstudent - IT Security / SAP Security (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description outlines a role in a global consulting organization's Security Leadership Team, offering strategic and administrative support, career advancement opportunities, and collaboration in innovative projects across public and private sectors. It emphasizes technical expertise, consulting experience, and bilingual proficiency.

Delivery Consultant for Infrastructure Automation and FinOps

Company: IBM

Location: Ljubljana, SI

Posted Dec 09, 2025

This text promotes a career opportunity at IBM Technology Expert Labs, emphasizing collaborative innovation, professional growth, and impactful problem-solving through infrastructure automation and DevOps expertise. It highlights a supportive learning culture, technical development, and contributions to clients' business success.

Entry level AI/ML Engineer: SVL

Company: IBM

Location: San Jose, US

Posted Dec 09, 2025

This text describes a job opening for an entry-level AIML Engineer at IBM, outlining responsibilities related to LLM integration, data management, and AI best practices. It details required qualifications and preferred experience in machine learning and AI technologies.

Quality Engineer-Performance & Resilience Management

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, requiring technical expertise in performance testing tools and emphasizing collaboration, growth opportunities, and strategic partnerships.

Frequently Asked Questions

What are typical salary ranges for Drive Innovation roles by seniority?
Junior R&D Engineer or Associate AI Engineer: $80k‑$120k. Mid‑level AI Engineer or Edge Developer: $120k‑$170k. Lead Engineer, Solutions Architect, or Innovation Lead: $170k‑$220k. Senior roles in quantum or blockchain can exceed $220k depending on location and expertise.
What skills and certifications are required for Drive Innovation positions?
Core programming in Python, Rust, or Go; ML frameworks TensorFlow, PyTorch, JAX; container orchestration with Docker/Kubernetes; cloud IoT platforms such as AWS IoT Core, Azure IoT Hub, or Google Cloud IoT; edge runtime environments like EdgeX Foundry; quantum SDKs Qiskit or Cirq; blockchain platforms Hyperledger Fabric or Ethereum; certifications like AWS Certified Machine Learning – Specialty, Certified Kubernetes Administrator, Qiskit Certified Developer, or Certified Blockchain Professional (CBP).
Is remote work available for Drive Innovation jobs?
Yes. Most Drive Innovation listings allow full‑remote or hybrid arrangements, especially for software‑centric roles. Remote work is feasible for tasks that involve development, testing, and cloud deployments; on‑site visits are typically limited to hardware integration or customer demos.
What career progression paths exist within Drive Innovation?
Typical progression: Junior Engineer → Senior Engineer → Lead Engineer/Tech Lead → Solutions Architect or Data Science Lead → Director of Innovation or VP of Emerging Technologies. Each step adds strategic ownership, cross‑team leadership, and product‑market alignment responsibilities.
What industry trends are shaping Drive Innovation?
Key trends: edge AI powered by 5G enabling real‑time inference; quantum machine learning moving from research to pilot projects; IoT security standards like CIP‑V4 and SIEM integration; blockchain for immutable audit trails; and the rise of AI‑driven automation in supply chains. Companies are also investing in low‑code ML platforms to accelerate deployment.

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