Cutting-Edge Technology Jobs

743,707 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.

Principal Product Designer

Company: Nova Talent

Location: Remote

Posted Dec 02, 2025

The text describes a venture studio seeking a product designer to join their team, focusing on innovation, user-centric design, and equity opportunities. It highlights the role's responsibilities, qualifications, and benefits, emphasizing collaboration and growth.

Systems Architect - Filesystems / NFS

Company: Hammerspace

Location: Remote

Posted Dec 02, 2025

Hammerspace's Data Platform offers high-throughput, low-latency storage solutions for AI and high-performance computing, enabling faster data access and improved productivity. The company seeks a System Architect to lead next-generation filesystem and NFS development, emphasizing innovation, collaboration, and technical leadership in a fast-paced startup environment.

Software Engineering Manager - Sustaining Engineering

Company: Canonical

Location: Remote

Posted Dec 01, 2025

Canonical is a leading provider of open source software and operating systems. They are hiring an Engineering Manager for Sustaining Engineering to lead a distributed team and improve various open source software. The role offers a rewarding career working with the best people in technology.

Software Developer (Backend SaaS)

Company: Canonical

Location: Remote

Posted Dec 01, 2025

Canonical is a leading provider of open source software and operating systems. They offer a rewarding career for software engineers passionate about open source, Linux, Python, and web services. Landscape, their management tool, is used to deploy, monitor, and manage fleets of Ubuntu systems.

Risk Partnerships Manager - Banks & Treasury

Company: Stripe

Location: Remote

Posted Dec 01, 2025

Stripe is a financial infrastructure platform that enables businesses to accept payments, grow revenue, and accelerate new business opportunities. The Risk Partnerships team is responsible for building and maintaining relationships with key partner banks to manage risk for Stripe's business activities. The role involves collaborating with global financial partners to develop and deliver solutions that build Stripe's Global Payments and Treasury Network, while enhancing risk management interactions and executing high-impact initiatives.

Growth Product Manager - Loyalty

Company: Trafilea

Location: Remote

Posted Dec 01, 2025

Trafilea is a consumer tech platform with $1B+ revenue and 12M+ customers seeking a Growth Product Manager to lead loyalty initiatives. The role involves driving subscription growth through data-driven strategies, cross-functional collaboration, and innovative subscription models in a dynamic global team environment.

Experienced Commercial Title Searcher

Company: Pippin Title

Location: Remote

Posted Dec 02, 2025

Pippin Title is a venture-backed real estate tech startup offering nationwide high-quality technology-driven title search services. They work with title insurance companies, property developers, and financial institutions to streamline the real estate closing process. Pippin values ambitious, results-driven individuals who embrace continuous learning, direct communication, and being part of a winning team.

Software Platform Engineering Manager - Ubuntu for Next-Gen Silicon

Company: Canonical

Location: Remote

Posted Dec 01, 2025

Canonical is a leading provider of open source software and operating systems, with a focus on enterprise initiatives such as public cloud, data science, AI, and IoT. The company is founder-led, profitable, and growing, with a globally distributed team. They are hiring engineering managers to lead teams and optimize Ubuntu for various hardware platforms, with a focus on open source technologies and cutting-edge hardware.

Linux devices software engineer - snapd

Company: Canonical

Location: Remote

Posted Dec 01, 2025

Canonical promotes itself as a leading open-source provider with a globally recognized platform, offering innovative roles in Linux development and emphasizing collaboration, growth, and global opportunities.

Business Development Representative

Company: Lumivero

Location: Remote

Posted Dec 02, 2025

Lumivero is a global team developing powerful data intelligence software that empowers users to make informed decisions. The company is seeking a Business Development Representative to lead outbound demand generation efforts and build relationships with academic institutions and Fortune 1000 companies. The role offers opportunities for career advancement and a competitive compensation package.

Senior Manager Market Access Pricing and Analytics

Company: Abbott

Location: Remote

Posted Dec 02, 2025

Abbott promotes a positive work environment with extensive benefits, career growth, and global healthcare innovation opportunities.

Release Train Engineer - Manager

Company: Blackbaud

Location: Remote

Posted Dec 02, 2025

The Product & Technology Group at Blackbaud is seeking a Scaled Agile Framework Release Train Engineer with people management experience. The role involves overseeing delivery for Agile Release Trains, planning and facilitating SAFe events, managing backlog priorities, coaching teams, and leading a team of agile PMO professionals. The ideal candidate should have experience in cloud-based software development, people management, and leading large ARTs. Blackbaud offers a dynamic role, opportunities for growth, and a flexible remote work culture.

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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