Cutting-Edge Technology Jobs

743,241 open positions · Updated daily

Artificial intelligence, quantum computing, and edge‑compute platforms are driving the next wave of innovation. Startups and Fortune 500s alike are hiring engineers, data scientists, and hardware specialists to accelerate product pipelines, leading to a 35% year‑over‑year growth in open positions across the sector.

Typical roles include AI/ML engineer, quantum algorithm developer, edge‑device firmware architect, blockchain infrastructure lead, and autonomous systems tester. Responsibilities span building scalable models, designing low‑latency inference pipelines, optimizing quantum circuits, securing distributed ledgers, and validating sensor fusion algorithms.

Salary transparency is critical because cutting‑edge talent must negotiate for tools, research budgets, and equity that match the high skill cost. Knowing exact pay ranges for each seniority level helps professionals target roles that reward their expertise and avoid underpayment.

Solution Architect

Company: IBM

Location: Houston, US

Posted Dec 23, 2025

The text describes a senior technical leadership role at IBM emphasizing innovation, strategic problem-solving, and impactful organizational change. It highlights responsibilities such as defining system architectures, leading technical decisions, and driving business outcomes through advanced analytics and technology adoption. Required expertise includes Databricks ecosystem proficiency, data governance, and consulting leadership skills with a focus on delivering measurable business results.

Data Engineer-Data Platforms-AWS

Company: IBM

Location: Pune, IN

Posted Dec 23, 2025

This job description outlines a Data Engineer role at IBM Consulting, requiring expertise in big data technologies like Spark, Hadoop, and Azure cloud platforms. Responsibilities include developing data solutions, building pipelines, and working with cloud ecosystems. Required skills involve experience with Python/Scala, SQL, and tools such as Kafka and DataBricks.

SAP Complex Project Manager

Company: IBM

Location: COPENHAGEN, DK

Posted Dec 23, 2025

This job description highlights a career in IBM Consulting with opportunities to work on hybrid cloud and AI projects globally, collaborate with industry leaders, and leverage IBM's technology platforms. The role emphasizes leadership in SAP project management, cross-functional teamwork, and client success. Benefits include professional growth, training access, and a supportive work environment with global networking opportunities.

Data Engineer-Data Warehouse

Company: IBM

Location: BANGALORE, IN

Posted Dec 23, 2025

This job description outlines a role in IBM's delivery centers focusing on technical expertise, ETL workflows, and Agile methodologies. Responsibilities include system analysis, data modeling, and production support. Requirements emphasize technical skills, teamwork, and continuous learning.

Select Horizon Technology Sales Leader

Company: IBM

Location: Tokyo, JP

Posted Dec 23, 2025

This job posting highlights IBM's global sales role focusing on innovation, collaboration, and digital transformation. The position requires Japanese-speaking skills and emphasizes strategic thinking, relationship-building, and technology expertise. It offers opportunities for career growth and impactful business solutions across industries.

Software Developer (UI) AI Center of Excellence

Company: IBM

Location: BANGALORE, IN

Posted Dec 23, 2025

The text describes a job opportunity for an AI and Cloud Software Engineer at IBM's Infrastructure AI Center of Excellence. It outlines core objectives of velocity and safety, responsibilities involving AI development, cloud technologies, and collaboration, along with required skills in AI frameworks, cloud platforms, and programming languages. The role emphasizes innovation, continuous learning, and working in agile environments.

Package Consultant-SAP HANA EPM

Company: IBM

Location: Shanghai, CN

Posted Dec 23, 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.

Project Coordinator Consultant (PMO)

Company: IBM

Location: Aarhus, DK

Posted Dec 23, 2025

This job description highlights a role at IBM's Client Innovation Center involving project coordination and collaboration with clients. It emphasizes opportunities for professional growth, access to training, and a supportive work environment with global networking prospects.

PROCESS DELIVERY SPECIALIST-LEAD TO CASH

Company: IBM

Location: BANGALORE, IN

Posted Dec 23, 2025

This role involves collaborating with global clients to drive digital transformation using agile methods and AI. It emphasizes long-term growth, innovation, and impactful solutions through strategic partnerships and technology platforms.

Senior SAP Application Integration Consultant

Company: IBM

Location: Cairo, EG

Posted Dec 23, 2025

The text describes a career in IBM Consulting focused on long-term client relationships and collaboration, emphasizing hybrid cloud and AI solutions. It highlights the SAP Integration Manager role, requiring expertise in SAP S4HANA processes and cross-functional integration, along with leadership and analytical skills. The company promotes growth, empathy, and innovation in its culture.

Security Consultant - Threat Intel / Threat Hunt

Company: IBM

Location: Pune, IN

Posted Dec 23, 2025

This text describes a career in IBM Consulting focused on cybersecurity roles involving threat detection, incident response, and research. It highlights opportunities for professional growth, collaboration with global clients, and the use of advanced technologies. Requirements include a bachelor's degree, cybersecurity experience, and technical skills in threat hunting and analysis.

Senior AWS Cloud Full Stack Developer - Defence

Company: IBM

Location: London, GB

Posted Dec 23, 2025

IBM CIC offers extensive career growth, training, and a supportive work environment with benefits like flexible working and professional development opportunities.

Frequently Asked Questions

What are typical salary ranges by seniority for Cutting‑Edge Technology roles?
Entry‑level AI/ML engineers earn $90k–$120k, mid‑level $120k–$160k, senior $160k–$210k, and principal/lead roles $210k–$280k. Quantum developers follow a similar scale but start at $110k–$140k, mid at $140k–$190k, and senior at $190k–$250k, often with a 10%–15% equity component.
Which skills and certifications are most demanded in this category?
Core languages: Python, C++, Rust, and Q# for quantum. Frameworks: TensorFlow, PyTorch, JAX, and Qiskit. Cloud expertise: AWS SageMaker, Azure AI, and GCP Vertex. Certifications: TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Blockchain Developer (CBDE). Hands‑on projects on Kaggle, Hackathon participation, and published research elevate a candidate’s profile.
Is remote work common for Cutting‑Edge Technology positions?
Yes. Over 70% of listed roles offer full‑remote or hybrid options. Companies provide cloud‑based development environments, virtual lab access for quantum simulators, and remote‑first collaboration tools (e.g., GitHub Codespaces, JupyterHub, and Discord/Slack). Support for home‑office budgets and flexible schedules is standard.
What career progression paths exist in this field?
Technical tracks: Junior → Mid → Senior → Principal → Staff Engineer. Managerial tracks: Team Lead → Engineering Manager → Director of Engineering → VP of Technology. Lateral moves to product, data science, or research labs are common. Clear performance metrics, mentorship programs, and promotion criteria are published on job listings.
What industry trends should candidates monitor in Cutting‑Edge Technology?
Quantum advantage is moving from simulation to real‑world problem solving, demanding expertise in error correction and hardware‑software co‑design. Edge AI is expanding into autonomous drones and IoT, requiring low‑power inference and on‑device learning. AI democratization tools (AutoML, LLM fine‑tuning) lower barriers but increase demand for model governance. 5G and edge computing convergence fuels new network‑edge AI services.

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