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.

Technical Support Intern - Hardware and Software Products

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text describes an IBM Technical Support Professional Intern role, highlighting requirements for technical expertise, collaboration, and problem-solving skills in a growth-oriented environment. It emphasizes IBM's infrastructure capabilities and the importance of innovation in addressing modern technological challenges.

SAP MM Team Leader

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text describes a career opportunity at IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and career growth through technical expertise and leadership roles. It highlights the impact of SAP MM solutions and the importance of curiosity and continuous learning in the role.

Salesforce Developer - Japanese Bilingual

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text describes a Software Developer role at IBM Consulting, emphasizing collaboration with global clients, career growth opportunities, and technical expertise in hybrid cloud and AI solutions. It highlights the importance of curiosity, innovation, and proficiency in Salesforce and Japanese language skills.

Application Developer-Cloud FullStack

Company: IBM

Location: Hyderabad, IN

Posted Dec 09, 2025

This role involves collaborating with clients on hybrid cloud and AI projects, requiring technical expertise in Java, AWS, and microservices. Responsibilities include feature development, stakeholder collaboration, and continuous learning.

Apptio Marketing Development Representative

Company: IBM

Location: London, GB

Posted Dec 09, 2025

The text describes a sales role at Apptio, highlighting opportunities for career growth, enterprise software sales, and collaboration with cross-functional teams. It emphasizes skills in prospecting, CRM usage, and delivering value-added insights while working in a dynamic, fast-growing environment.

Senior Managing Consultant - Finance Transformation

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job posting seeks a Senior Managing Consultant with expertise in finance transformation, requiring leadership in digital solutions and client engagement. The role emphasizes strategic execution, cross-functional collaboration, and mentoring junior colleagues to drive sustainable outcomes in finance operations.

Application Architect-Oracle Cloud Applications

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

This role involves software development, stakeholder collaboration, and expertise in Oracle Database Integrator and API integration. Responsibilities include feature development, issue resolution, and technology implementation for hybridcloud and AI initiatives.

Lead FullStack Developer - Public Sektor (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job posting describes a Lead Developer role at IBM's Client Innovation Center, requiring expertise in Java, microservices, and cloud technologies. It highlights opportunities for innovation, collaboration with cross-functional teams, and emphasis on diversity and inclusion.

Sr. Software Developer AI Center of Excellence

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job posting highlights a role in developing AI-based cloud services with opportunities for innovation, collaboration, and professional growth. The position requires expertise in AI, cloud technologies, and agile development while emphasizing safety, velocity, and technical leadership.

Business Transformation Consultant-IoT & PLM

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting's delivery centers focusing on ARAS PLM implementation, requiring technical expertise in PLM applications, SQL databases, and development practices. It specifies educational qualifications, preferred experience with ARAS customization, and interpersonal skills for team collaboration.

SAP S/4HANA Defense & Security Delivery Manager

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a career in IBM Consulting emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and opportunities for career growth. It outlines responsibilities as a Delivery Lead, required expertise in SAP solutions, and preferred skills like multilingual communication and cross-timezone teamwork.

Managing Consultant - SAP S/4HANA FI/CO (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights IBM Consulting's focus on long-term client relationships, innovation in HybridCloud and AI, career development opportunities, and collaborative projects with global clients. It emphasizes technical expertise in SAP S4HANA and leadership in implementation projects.

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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