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.

Senior Cloud FullStack Developer - MERN

Company: IBM

Location: Giza, EG

Posted Dec 09, 2025

The text describes a role as an Application Developer at IBM, emphasizing opportunities to lead innovation, develop customized systems, and collaborate globally. It highlights career growth, technical expertise requirements, and the impact of the role on IBM and its clients.

Java Developer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This role involves collaborating with global clients on hybrid cloud and AI projects, offering growth opportunities and innovative solutions using advanced technologies.

Application Architect-Azure Cloud

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights opportunities to work in IBM's delivery centers, focusing on Azure solutions, cloud migration, and professional growth. It emphasizes mentorship, technical training, and diverse project experiences while requiring expertise in full-stack development and cloud technologies.

SAP Ariba Consultant

Company: IBM

Location: Kosice, SK

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, technical expertise in SAP Ariba, and opportunities for innovation. It outlines responsibilities including system integration, data management, and team leadership, along with required qualifications and skills.

Fault-tolerant Quantum Algorithm Resource Estimation Research Scientist

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job posting highlights a research scientist role at IBM focusing on quantum computing technologies. The position requires expertise in quantum algorithms, benchmarking, and collaboration across disciplines. Candidates must hold a doctoral degree and demonstrate proficiency in programming languages like Python and Rust.

Développeur C# .NET expérimenté (Strasbourg)

Company: IBM

Location: Lille, FR

Posted Dec 09, 2025

IBM Consulting offers innovative roles with global clients, focusing on cloud and AI solutions, collaboration, and career development through technical expertise and continuous learning.

L3 SOC Analyst

Company: IBM

Location: Taguig City, PH

Posted Dec 09, 2025

This job description outlines a Senior Threat Response Analyst role focusing on cybersecurity incident response, digital forensics, and threat hunting. It details responsibilities such as advanced incident investigations, containment strategies, and collaboration with clients. Required qualifications include expertise in security technologies, forensic analysis, and certifications like GIAC or CISSP.

Product Manager (Public Sector)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM CIC offers a dynamic role with career growth, extensive training, and a supportive culture. The position involves leading product strategies and collaborating with diverse teams, requiring expertise in Agile, DevOps, and cloud platforms.

AI Engineer

Company: IBM

Location: Krakow, PL

Posted Dec 09, 2025

This job description outlines a role for an AIML Engineer specializing in Large Language Models, focusing on data collection, LLM integration, and best practices for AI implementation. Responsibilities include designing data pipelines, ensuring compliance with governance standards, and optimizing model deployment. Required skills involve NLP expertise, Python programming, and MLOps knowledge.

Senior Managing Consultant - SAP HANA SCM SD (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 hybrid cloud and AI, career development opportunities, and technical expertise in SAP solutions. It emphasizes collaboration with global clients and the use of proven methodologies to deliver impactful results.

【札幌】分散系サーバー基盤開発リーダー(金融領域)

Company: IBM

Location: Sapporo, JP

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise in distributed systems, and opportunities for long-term growth. The role requires leadership in development projects and experience with specific technologies like Unix systems and Oracle databases.

Application Developer-Azure Cloud FullStack

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, and opportunities to lead teams through strategic technology platforms. It highlights required skills in full-stack development and Azure, while promoting growth and impactful problem-solving for clients.

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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