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.

Arquiteto de solução - cognitiva

Company: IBM

Location: SÃO PAULO, BR

Posted Dec 09, 2025

This text describes a senior professional role in IBM Consulting focused on innovation, collaboration, and technical expertise. It highlights opportunities to work with global clients, leverage advanced technologies like AI and cloud computing, and contribute to impactful projects through a culture of continuous learning and growth.

Sr. Process Analyst Finance & Administration Delivery - Order to Cash

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on digital transformation and client collaboration. The role involves processing accounts receivable, working with innovative companies, and leveraging technology platforms. It emphasizes career growth, mentorship, and impactful problem-solving in a supportive environment.

Data Engineer-Data Platforms-Azure

Company: IBM

Location: Kochi, IN

Posted Dec 09, 2025

The role involves working in IBM's delivery centers to deliver technical expertise and innovation, focusing on data analysis, predictive modeling, and collaboration with diverse teams using tools like Python and Spark.

Application Arhictect

Company: IBM

Location: Seoul, KR

Posted Dec 09, 2025

This job description outlines a Cloud Application Architect role at IBM Consulting, emphasizing collaboration with global clients, designing scalable cloud solutions, and leading technology selection. It highlights required qualifications including a bachelor's degree, 7+ years of experience, and expertise in cloud platforms like AWS and Azure.

Sr. Process Analyst Finance & Administration Delivery - Order to Cash

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on digital transformation, hybrid cloud, and AI initiatives. The role involves working with global clients, leveraging agile methodologies and technology platforms, while emphasizing career growth, innovation, and collaborative problem-solving in a supportive environment.

Senior SAP Consultant – Credit Management & TRM

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text describes a senior SAP consultant role at IBM Consulting, emphasizing collaboration with global clients, technical expertise in SAP systems, leadership opportunities, and career growth through innovative solutions and industry expertise.

Business Transformation Consultant-Finance Analytics

Company: IBM

Location: Pune, IN

Posted Dec 09, 2025

This job description outlines a role as an IBM Consulting Cognos TM1 Developer requiring expertise in ETL processes, Python development, and integration of data pipelines. The position emphasizes collaboration with cross-functional teams and proficiency in Agile methodologies, with qualifications including 8+ years of experience and strong SQL skills.

BW Analytics Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text describes a Package Consultant role at IBM requiring expertise in SAP solutions, leadership skills, and technical knowledge. It outlines responsibilities such as business development, project delivery, and client workshops, along with educational and certification requirements.

Technology Lifecycle Support - Brand Sales Specialist - Open Market

Company: IBM

Location: No City, US

Posted Dec 09, 2025

This job description outlines the role of an IBM Brand Sales Specialist, emphasizing client relationship development, technology strategy, and solution design. The position requires expertise in IBM's TLS portfolio, technical sales skills, and collaboration across teams to drive business growth and deliver value to clients.

Application Developer

Company: IBM

Location: Jakarta, ID

Posted Dec 09, 2025

This job description outlines a career in IBM Consulting focused on ITSM development and client collaboration. The role involves enhancing ITSM modules, designing workflows, and integrating systems with external tools. Required skills include experience with JIRA, SQL, and programming languages, while the company emphasizes strategic partnerships and technology platforms to drive client impact.

AECC - Virtualization Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description outlines a Virtualization Engineer role supporting the Army Edge Computing Capability project, involving VMware suite deployment, Infrastructure as Code, and cybersecurity expertise. The position requires in-person work in Radford VA and emphasizes collaboration, innovation, and career growth within IBM Consulting's ecosystem.

Procurement

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description outlines the role of a Procurement Specialist at IBM, emphasizing responsibilities such as procuring goods/services, managing vendor relationships, and ensuring audit readiness. It highlights required skills like communication, ERP tools proficiency, and experience in procurement domains, while also mentioning preferred qualifications like a Master's degree and virtual client-facing abilities.

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.

Related Pages