Hardware Verification Engineer

Reports to: Lead Hardware Verification Engineer

Department: Engineering

Please note we can hire you in the following locations; UK, Germany, France, Belgium, Austria, Netherlands, Spain. 

If you are not based in one of these countries then we are unable to move forward with your application. 

💼 About the role

We’re seeking a Hardware Verification Engineer who thrives on solving hard problems, building tools that make life easier for others, and driving verification with both rigor and creativity. This is not a checkbox role — we want someone who is hands-on, curious, and motivated to go beyond the obvious.

The ideal candidate will have a strong background in software development, cryptography, and secure product development, with a focus on delivering secure, high-performance, and efficient products.

We have been established since 2018, so you would be directly working with the founders and inventors of this deep tech startup. The technology is already a couple of years in the making, its feasibility having been established, funding secured, and it has a clear path to market. This is a great opportunity for career progression and to get a head start in a rapidly expanding segment of the technology industry.

⚒️ What you’ll be doing

You'll be a part of a team verifying security-critical designs where thoroughness is everything. On a daily basis, you will:

• Build and extend UVM testbenches to verify cryptographic IPs and subsystems.
• Develop Python-based tools and automation to improve verification productivity.
• Use formal verification creatively, writing properties beyond canned apps to prove tricky scenarios.
• Debug at every level - from low-level waveforms to algorithmic mismatches.
• Collaborate with design, software, and architecture teams to ensure real-world use cases are covered.
• Approach designs with a "break it to make it" mindset, thinking like an attacher to expose weaknesses.

Key Job Functions

Beyond hands-on verification, you will also:

• Influence and define methodologies and strategies for design verification.
• Develop testbench architectures using UVM and formal-based approaches.
• Define verification plans, functional coverage models, and test strategies for block and subsystem verification.
• Lead verification at IP or SoC level, including effort estimation, scheduling, task assignment, and reporting progress to management.
• Drive coverage closure and sign-off quality across complex designs.
• Mentor junior engineers and help raise the team’s overall capability.

🎯 Required Skills And Qualifications

Preferred:

• Strong background in UVM-based verification at IP and subsystem levels.
• Proficiency in Python for tool development and automations.
• Practical formal verification experience, beyond app-based use.
• Knowledge of cryptographic algorithms (AES, SHA< ECC, etc.) and hardware/software security concepts.
• Software-oriented thinking (C/C++ or scripting languages) for HW/SW co-verification.
• Demonstrated leadership in planning and executing verification projects.
• Self-driven, resourceful, and persistent when solving tough technical challenges.
• Excellent debugging and problem solving skills with strong attention to detail.

🏆 Some of the perks of working with us:

• Unparalleled opportunities to learn and accelerated career development.
• A collaborative, team environment with people who truly love what they do.
• Competitive salary and share option scheme.
• Flexible and hybrid working, and a working from home budget.
• Private health insurance for yourself and your family.
• 25 days annual leave (plus bank holidays and two wellness weeks).
• 50% gym membership discount.
• The chance to work with a spirited, smart, and friendly team!

Interested? Apply today to be part of the future of secure hardware! 🚀

Role Overview

The successful Software Engineer will have a passion not only for developing quantitate applications but also have a passion for building out front-end applications and working with large, financial datasets. Frequent interaction with quants, and senior management will be required so communication and collaboration skills are essential. The ideal candidate will be a mid-level professional.

Requirements

• 3+ years development experience in enterprise class software solutions
• 2+ years working with C++
• Strong object-oriented design skills
• Hands-on experience with data-intensive applications that incorporate large datasets and multiple data sources
• Experience with test- driven development
• Experience working in Unix/Linux environments, practical experience in debugging
• Familiarity with mathematically intensive applications such as statistics, time series analysis, and optimization
• Practical exposure to python, in both system and application-level development
• Familiar with python data science modules
• Team player and able to work under pressure and tight schedule
• Strong communications and interpersonal skills

In addition, preference will be given to candidates with:

• 2+ years of software development experience in finance and/or investment management industry
• Advanced degree in a quantitative discipline (math, statistics, physics, computer science, financial engineering, etc.) or finance/economics
• Hands on experience with large, financial databases (Reuters, MarketQA, Capital IQ, etc.)
• Practical data modeling and database design experience
• Familiarity with concurrent systems optimizing response time
• Working knowledge of basic statistical and econometric methods
• Working experience analyzing large financial datasets using statistical tools (Python, Matlab, C++)

Additional Information

• Location : Vienna, Austria
• Start date : Flexible
• Wage : Competitive (Minimum annual gross salary : 95,000 EUR plus bonus)

ROLE OVERVIEW

Student Analyst | Vienna, Austria 

The Student Analyst rotational program provides an excellent opportunity for an individual with strong quantitative and qualitative skills to gain experience working with various teams at a hedge fund. Student analysts will be able to participate in informal social events and have ample opportunity to ask questions and learn about trading and the financial markets. Full-time potential exists after graduation.

RESPONSIBILITIES

• Work with the Data Engineering team to design and implement scalable processes and tools to extract and clean datasets
• Work with the Risk team to build tools to visualize risk metrics
• Work with the Execution Trading team to create tools that improve trading efficiency and reduce costs
• Work with the Research Team to perform exploratory data analysis to understand relationships and opportunities in the global markets

REQUIREMENTS

• Currently pursuing or recently completed a Bachelor’s, Master’s or PhD degree with a top grade
• Strong general programming background with experience coding in Python, and/or C++
• Familiarity with the mechanics of securities markets and exchanges is a plus but not required
• Be able to succinctly present recommendations at an executive level
• Strong analytic and strategic thinking skills

COMPENSATION

Student (MSc/Phd) salary 20h/w (per month, 14 payments): 1,964€