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.

\n

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.

\n

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.

Package Consultant-Oracle Business Analytics

Company: IBM

Location: Kolkata, IN

Posted Dec 17, 2025

The text describes a consulting role at IBM focusing on hybrid cloud and AI solutions, emphasizing collaboration, innovation, and career growth. It outlines responsibilities, required skills in technology integration, and the importance of continuous learning in a supportive work environment.

Quality Engineer-Automation

Company: IBM

Location: BANGALORE, IN

Posted Dec 17, 2025

The role involves working in IBM's delivery centers to deliver technical expertise, requiring teamwork, training skills, and technical testing abilities.

Data Scientist Intern: 2026 - Research Triangle Park

Company: IBM

Location: RESEARCH TRIANGLE PARK, US

Posted Dec 17, 2025

This text describes an internship opportunity at IBM's Business Platform Transformation, highlighting roles in AI and data science with collaborative environments, professional development, and impactful projects. It outlines responsibilities involving machine learning, strategic planning, and project management, along with required technical skills and soft skills.

Data Scientist-Advanced Analytics - Junior

Company: IBM

Location: NO City, BR

Posted Dec 17, 2025

This job posting describes a role within IBM Consulting's innovation centers, focusing on data visualization tools like PowerBI, Spotfire, and Tableau. The position requires a bachelor's degree and expertise in data visualization technologies, with emphasis on delivering technical solutions to clients worldwide.

Package Consultant-Oracle HCM Cloud

Company: IBM

Location: BANGALORE, IN

Posted Dec 17, 2025

This text promotes an Oracle Cloud Consultant role at IBM Consulting, emphasizing collaboration, innovation, and career growth opportunities. It highlights working with global clients on hybrid cloud and AI solutions, along with technical expertise requirements and preferred qualifications.

Application Developer - RPA

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

The text describes an Application Developer role at IBM, highlighting responsibilities like software development, strategic projects, and career growth opportunities. It emphasizes benefits such as learning resources, global impact, and cross-functional collaboration, while mentioning perks like travel and skill development.

Quality Engineer Intern - Fullstack

Company: IBM

Location: Giza, EG

Posted Dec 17, 2025

IBM Consulting offers roles in hybrid cloud and AI with collaboration opportunities. Responsibilities include testing, automation, and cross-functional teamwork in a growth-focused environment.

SAP PLM Technical Support

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 17, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients and technical expertise in SAP systems. It outlines responsibilities involving implementation and support of PLM solutions, along with required skills in ABAP and problem-solving for enterprise-level companies.

Data Engineer Machine Learning

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

The text describes job responsibilities related to designing data systems, maintaining infrastructure for machine learning models, and required qualifications such as a bachelor's degree and specific technical skills. It also mentions preferred postgraduate studies in data.

Consultant Oracle Cloud PPM

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration, innovation, and professional growth. The role involves delivering Oracle Cloud PPM projects, leading solution development, and supporting client success through expertise in finance, technology, and process optimization.

Application Developer-ServiceNow

Company: IBM

Location: BANGALORE, IN

Posted Dec 17, 2025

This role involves collaborating with global clients on innovative projects, requiring a bachelor's degree and certifications in ServiceNow products, with opportunities for professional growth through strategic partnerships and technology platforms.

SAP Advanced Variant Configuration (AVC) Lead

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

This job description highlights a role in IBM Consulting's SAP Advanced Variant Configuration team, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and responsibilities involving configuration modeling, governance, and integration with business processes. The position requires expertise in SAP modules and offers flexibility to work from anywhere in the US.

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.

Related Pages