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.

Cloud Platform Software Engineer - OpenRAG / Opensearch

Company: IBM

Location: Markham, CA

Posted Dec 09, 2025

This job posting highlights IBM's innovative AI-powered cloud-native solutions and opportunities for career growth. The role involves developing scalable systems for Open Search, working in a collaborative environment, and contributing to cutting-edge technology projects.

Application Developer - Cloud FullStack (f/m/x)

Company: IBM

Location: WIEN, AT

Posted Dec 09, 2025

The text describes a career in IBM Consulting emphasizing collaboration with global clients, innovation in hybrid cloud and AI, professional growth opportunities, and competitive benefits like flexible working hours and a modern work environment.

Back-End Developer - Sovereign Cloud

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights a software engineer role at IBM focused on developing a multicloud platform with sovereign AI capabilities. The position emphasizes innovation, collaboration, and expertise in cloud computing, software development, and security frameworks. Requirements include experience with cloud services, programming languages, and system design.

Staff Advanced Engineer

Company: IBM

Location: WASHINGTON, US

Posted Dec 09, 2025

This job description highlights a career at IBM Software focusing on innovative solutions, cross-functional collaboration, and professional growth opportunities. The role involves developing advanced services, ensuring compliance, and contributing to cloud-native solutions that enhance customer outcomes through technical expertise and continuous improvement.

Application Consultant-DevOps

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This text describes a career opportunity at IBM Consulting, emphasizing collaboration with global clients, technical expertise in DevSecOps, and the impact of improving hybrid cloud and AI initiatives. It outlines role responsibilities, required skills, and the importance of innovation in technology adoption.

Expert Labs Proposal Specialist

Company: IBM

Location: PETALING JAYA, MY

Posted Dec 09, 2025

IBM offers career growth opportunities as a Proposal Specialist, focusing on bid management, proposal development, and cross-functional collaboration. The role requires expertise in proposal processes, technical documentation, and client alignment, with a focus on innovation and impactful solutions.

Package Specialist-Oracle eBS SCM

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting involving technical expertise in Oracle CPQ implementation, requiring skills in configuration, integration, and business requirements development. It specifies educational qualifications and technical proficiencies needed for the position.

Package Specialist-Oracle eBS SCM

Company: IBM

Location: Mumbai, IN

Posted Dec 09, 2025

The text describes a job role at IBM Consulting involving technical expertise in Oracle CPQ implementation, requiring specific educational qualifications and experience with technical tools. It outlines responsibilities and preferred qualifications for the position.

Data Engineer-Data Warehouse

Company: IBM

Location: Kochi, IN

Posted Dec 09, 2025

This job description outlines a Data Engineer role at IBM involving innovation, technical expertise, and collaboration. Responsibilities include data analysis, predictive modeling, and working with tools like Python and Spark. Required skills include DBT, ETL tools, and programming languages, with preferences for advanced technical experience and teamwork.

PROCESS DELIVERY SPECIALIST-RECORD TO REPORT

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This role involves collaborating with global clients on digital transformation projects, offering career growth and innovative solutions in a supportive environment.

Package Consultant-SAP HANA SCM MM

Company: IBM

Location: Ahmedabad, IN

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on client collaboration, technical expertise, and innovation in hybrid cloud and AI solutions. It highlights opportunities to work with industry visionaries, deliver technical expertise globally, and contribute to impactful projects through strategic partnerships and technology platforms.

Intern 2026: CMOS Circuit Design Intern – Quantum Computing Applications

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM Research seeks a CMOS circuit design intern to contribute to quantum computing systems, requiring expertise in analog/mixed-signal design and tools like Cadence, with a focus on innovation and problem-solving.

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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