[Job-offers-cs] AI Algorithm Engineer (NestAI, Helsinki)

Pekka Orponen pekka.orponen at aalto.fi
Sun Apr 26 17:28:08 EEST 2026


    About the job

*Company Description*

NestAI is Europe’s fastest-growing physical AI lab. We build open, 
sovereign, and reliable autonomous systems and AI-enabled command 
capabilities for real-world operations — technology designed for 
environments where reliability isn’t optional.

Our work strengthens Europe’s ability to remain safe, resilient, and 
sovereign. At the core of NestAI’s vision is an open, modular and 
interoperable AI command centre. To this end, it integrates data from 
multiple sources — including UAV sensors, edge devices and situational 
intelligence platforms — and uses it to automate operations and decision 
support in order to drive rapid and efficient action in critical 
environments.

Rooted in Nordic engineering heritage, we focus on openness, 
reliability, and systems that earn trust through performance. We work 
with intent, iterate fast, and build technology that protects what 
matters most.

*Role Description*

We are looking for an*AI Algorithm Engineer*to join the*AI / Algorithms 
Chapter*at NestAI. You will design the core logic and decision-making 
frameworks that allow physical AI to navigate complex environments and 
execute tasks with precision. This is a high-math, high-logic role where 
you will bridge the gap between abstract control theory and 
high-performance execution on the edge.

You’ll work closely with our multidisciplinary teams — including 
embedded, cloud, and hardware engineers — to turn cutting-edge research 
into real, high-performance systems.

You will be responsible for developing algorithms, training and 
optimizing models, building scalable data pipelines, and integrating AI 
solutions into production environments.

*Day-to-day Responsibilities:*

  * Decision Logic & Control: Designing and implementing algorithms for
    sequential decision-making, path planning, or autonomous behavior.
  * Model Optimization: Developing custom training routines and loss
    functions to improve model robustness in non-deterministic physical
    environments.
  * Edge Performance: Collaborating with embedded teams to optimize
    non-vision models (e.g., RL policies, signal processing) for
    low-latency execution on hardware like NVIDIA Jetson.
  * Simulation & Validation: Creating high-fidelity simulations to train
    and stress-test algorithms before they ever touch physical hardware.
  * Cross-Domain Integration: Working with the CV team to ingest
    perception data and the Hardware team to output precise physical
    commands.
  * Applied Research: Adapting state-of-the-art papers in RL, GNNs, or
    Control Systems into production-ready code.

*Qualifications:*

  * ML Theory: Strong skills in machine learning theory and deep
    learning model development.
  * Technical Stack: Proficiency in Python and experience with
    frameworks such as PyTorch or TensorFlow.
  * Deployment Knowledge: Understanding of data processing pipelines,
    model deployment, and performance optimization.
  * Engineering Standards: Experience with version control (Git), CI/CD,
    and Linux-based environments.
  * Environment Familiarity: Familiarity with modern computation or edge
    environments (e.g., GCP, AWS, Azure, SLURM, NVIDIA Jetson).
  * Problem Solving: Excellent analytical skills with strong attention
    to detail and a collaborative mindset.

*Preferred Extras:*

  * Algorithm Specialization: Experience in Reinforcement Learning (RL),
    Control Systems, or Sequential Decision Making.
  * Edge Use Cases: Understanding the unique constraints of physical AI
    (e.g., power consumption, latency, and "disconnected" environments).
  * Industry Experience: Previous experience working within or for
    DefSec (Defense & Security) companies.
  * Hardware-Aware AI: Experience with real-time inference optimization
    (e.g., TensorRT, quantization, or pruning) for hardware-constrained
    systems.
  * Low-level Skills: Proficiency in C++ or experience with custom CUDA
    kernels.

*Why join NestAI*

At NestAI, you’ll build meaningful, real-world technology as part of a 
world-class team of engineers, scientists, and experienced 
professionals. You’ll work on systems where reliability genuinely 
matters, contribute to Europe’s security and resilience, and solve 
problems that demand depth, trust, and craftsmanship.

If you want to build with purpose — and with leading experts in the 
field — you’ve come to the right place.

*Perks & Benefits*

We offer a growing set of practical benefits to support your work and 
wellbeing, day to day:

  * Occupational healthcare (currently provided by Mehiläinen)
  * Epassi Flex benefit (sports, culture, commuting, wellbeing)
  * Lunch benefit (25% tax-free coverage)
  * Regular team lunches and all-hands events
  * Your choice of Mac or PC
  * Holiday allowance (50% of holiday salary)
  * Phone benefit according to company policy (subscription and device)

We are continuously developing and expanding our benefits as we grow.

*Practicalities*

Employment is subject to applicable security screening (including SUPO, 
where required).

NestAI is an equal opportunity employer. We consider all applicants 
based on their skills, experience, and potential.


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