The US remains the highest-paying market for tech globally. Major hubs include the San Francisco Bay Area, New York, Seattle, Austin, and Boston, plus fully remote-first companies headquartered across the country.
Team Description The AI Foundations – AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. You have…
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Team Description The AI Foundations – AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. You have hands-on experience developing data science solutions using open-source tools and cloud comp...
Pirros is reshaping and revolutionizing how Architecture and Engineering firms manage design details. Expertise in deconstructing complex problems into manageable, incremental solutions, with...
NVIDIA is searching for a highly motivated, creative engineer to join the GPU Software team. Focussing on adding features that bolster system level availability, early fault detection and faster recovery.
Our Team Works Daily With Narmi’s Product And Design Teams To Iterate On The Product And Craft Better Online Experiences For Financial Institutions And Their Customers. What you'll do: Lead a team of full-stack software…
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Our Team Works Daily With Narmi’s Product And Design Teams To Iterate On The Product And Craft Better Online Experiences For Financial Institutions And Their Customers. What you'll do: Lead a team of full-stack software engineers Operate as a player-coach, spending time both leading the team and directly contributing to the product Plan, develop, implement, and iterate on new features and new products Provide mentorship and engineering perspective across the organization Collaborate with product teams to create and review release targets and sprint plans Take part in code reviews and testing Lead greenfield development What you'll bring: Comfort working up and down the stack >8 years of professional software engineering experience Great work ethic, agility, and experience as a top performer Excellent communication skills in verbal and written English Experience leading full-stack engineering teams and fully owning features Willingness to occasionally work in New York City Advanced proficiency in some of: Python (especially Django or DRF), JavaScript, React (preferred) Experience at a startup, financial technology firm or lending software company (preferred) The expected annual base salary for this role is $220,000 - $238,000.
[Applicants: Be among the first 25 applicants | Industry: Software Development | Type: Full-time | Level: Entry level] Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying…
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[Applicants: Be among the first 25 applicants | Industry: Software Development | Type: Full-time | Level: Entry level] Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work a
We are looking for a talented Machine Learning Engineer who is passionate about delivering impactful solutions and moving models from research environments into high-performance production systems. Key Responsibilities:…
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We are looking for a talented Machine Learning Engineer who is passionate about delivering impactful solutions and moving models from research environments into high-performance production systems. Key Responsibilities: Collaborate closely with data scientists and cross-functional teams to integrate machine learning models seamlessly into production systems Implement end-to-end solutions, including architecture design, business logic, deployment and monitoring Perform exploratory data analysis, build baseline models and fine-tune existing architectures to support the data science team Package, containerize, and deploy ML models (Financial, Text, Image) as scalable microservices (using FastAPI, Docker) Stay updated with advancements in machine learning and related technologies to continuously improve our solutions Drive the adoption of rigorous engineering standards and testing practices for ML codebases, ensuring high-quality, reliable ML model releases Key Requirements: Master's or Bachelor's degree in Computer Science, Engineering, or a related field with 2+ years of relevant industry experience Strong understanding of computer science fundamentals, object-oriented programming and software design patterns Strong knowledge of machine learning fundamentals and proficiency in data analysis Proficiency in Python, SQL, FastAPI or other RESTful API architectures and AWS Familiarity with numpy, pandas, torch, scikit-learn and other Python libraries commonly used in machine learning We believe: Diversity is a competitive advantage.
Responsibilities Frontend Engineering: Experience developing scalable, responsive, and dynamic web-based applications Familiarity with modern frontend tools and frameworks such as React, AngularJS, or Vue.js Knowledge…
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Responsibilities Frontend Engineering: Experience developing scalable, responsive, and dynamic web-based applications Familiarity with modern frontend tools and frameworks such as React, AngularJS, or Vue.js Knowledge of HTML, CSS, and JavaScript standards Strong ability to collaborate with designers, UX specialists, and backend engineers Backend Engineering Experience developing web applications using server-side languages, such as Java, Python, or Node.js. Familiarity with database technologies such as MySQL, PostgreSQL, or MongoDB Understanding of RESTful API design principles and ability to work with API integrations Experience with server frameworks such as Express, Spring MVC or Django Fullstack Engineering Familiarity with both frontend and backend development Ability to work effectively with developers and designers, discussing application and API architectures Understanding of Agile methodologies and ability to work with Scrum teams Familiarity with tools such as Git, Jenkins, or Travis Mobile Engineering Experience developing applications for one or more platforms such as Android and iOS Familiarity with mobile application development fra...
[Industry: Pharmaceutical Manufacturing | Type: Full-time | Level: Not Applicable] Medpace's Information Technology team is looking for a full-time, office-based Lead Software Engineer.Join us in building the digital…
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[Industry: Pharmaceutical Manufacturing | Type: Full-time | Level: Not Applicable] Medpace's Information Technology team is looking for a full-time, office-based Lead Software Engineer.Join us in building the digital capabilities that accelerate the
Job Title: Junior Software Engineer - Up to $100k + Bonus Client: Elite Tech Firm Experience Level: 1+ years' Salary: Up to $100k + Bonus + Package Location: Boston (Hybrid) An elite tech firm are searching for Software…
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Job Title: Junior Software Engineer - Up to $100k + Bonus Client: Elite Tech Firm Experience Level: 1+ years' Salary: Up to $100k + Bonus + Package Location: Boston (Hybrid) An elite tech firm are searching for Software Developers to join a group of the highest-regarded talent around! Role Building out high performance tools - utilising cutting edge technology across a diverse range of greenfield projects Tech driven environment - Java 23 and Python 3 used extensively!
Software Engineer BCforward is currently seeking a highly motivated Software Engineer for an opportunity in Jersey City, NJ! Job Description: Title: Software Engineer Location: Jersey City, NJ (Onsite) Duration: 5…
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Software Engineer BCforward is currently seeking a highly motivated Software Engineer for an opportunity in Jersey City, NJ! Job Description: Title: Software Engineer Location: Jersey City, NJ (Onsite) Duration: 5 months contract to hire Job Description: Formal training or certification on software engineering concepts and 12+ years of applied experience including 5+ years in a team management role Hands-on practical experience in system design, application development, testing, and operational stability Hands on experience building AWS services-based applications and python applications Hands on experience of python and developing python-based applications with API Hands on experience building Java Microservices, Spark etc.
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Yes. Remote-friendly AI and ML roles in the EU have grown over 30% year-on-year. Germany, France, the Netherlands, and Spain lead in volume. Use the AI and EU filters together to surface them quickly, and check the salary estimate badge to ensure the range meets your expectations.
How fresh are the job postings?
Listings are refreshed continuously from employer feeds and normalised daily. Each card shows a posted date pill so you can see exactly how old a listing is. Jobs posted within the last 7 days receive a green New badge. Listings older than 30 days receive a May be filled warning.
Do roles include salary estimates?
Yes. Most listings show an Est. salary pill derived from Catalitium's location-based salary database, blended with any employer-disclosed range. Senior and lead roles receive an automatic seniority uplift. If a salary range is genuinely unknown we leave the field blank rather than show a misleading estimate.
What is a ghost job and how do I spot one?
A ghost job is a listing that has been live for 30+ days and is likely already filled, on hold, or was never a real opening. Research suggests up to 40% of active listings at any time are ghost jobs. Catalitium flags every listing older than 30 days with a triangle May be filled badge so you can prioritise your energy on fresh openings.
What are the highest-paying tech roles right now?
AI and ML engineer roles currently command the highest median salaries on Catalitium, around $150k–$200k USD in the US and EUR 100k–EUR 160k in Europe. Principal and Staff Engineer roles come close, followed by senior full-stack and cloud infrastructure engineers. Use the >100k filter to see only high-compensation listings.
How do I negotiate a higher salary offer?
Reference Catalitium's salary data when negotiating: show the employer the market range for your role and region. Studies show engineers who negotiate receive 10–20% more than the initial offer on average. If base salary is fixed, push on equity, signing bonus, remote allowance, and learning budget. See our Salary Negotiation Guide in the Resources section.
Which European cities pay the most for tech?
Zurich and Geneva (Switzerland) consistently top European tech salaries, followed by London, Amsterdam, Berlin, Paris, and Stockholm. Swiss salaries are typically quoted in CHF and translate to EUR 100k–160k for mid-senior roles. London follows at GBP 70k–110k. Berlin and Amsterdam are competitive at EUR 70k–100k for comparable experience levels.
Can I track my job applications on Catalitium?
Yes. Our free Application Tracker lets you move roles through a Kanban pipeline: Applied, Phone Screen, Interview, Offer, and Closed. It requires no account and stores everything privately in your browser. Hit the Track button on any job card to add it. You can also export your full pipeline as a CSV.
How does Catalitium differ from LinkedIn Jobs?
LinkedIn optimises for engagement and premium upgrades. Catalitium is built exclusively for tech candidates who want signal over noise: every listing shows salary estimates, ghost jobs are flagged, AI-powered summaries save you time reading descriptions, and the application tracker replaces the black-hole Easy Apply experience. No premium paywall, no recruiter spam.
Can I filter to remote-only jobs?
Yes. Choose Remote in the location/country field or tap a Remote shortcut chip. Results are limited to roles that advertise remote or hybrid where the listing text supports it, and remote-friendly rows show a Remote badge.
Which tech stacks are most in demand?
Across Catalitium tech listings, Python, TypeScript/JavaScript, Go, Java, and cloud platforms (AWS, GCP, Azure, Kubernetes) recur most often; AI and data roles add PyTorch, TensorFlow, and LLM tooling. Title and AI summary chips reflect the employer's stated stack.
Which Swiss cities pay the most for software roles?
Zurich and Geneva typically lead Switzerland for software, data, and platform engineering compensation; smaller hubs follow at a discount. Swiss ranges often sit above neighbouring EU markets for comparable seniority—check Est. salary on each card when you filter by Switzerland.
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