Careers

We are building transformative Al technology aimed at reshaping how humanity solves its hardest problems.

Our team is a combination of academics and seasoned professionals, headed by industry leaders. We like to learn new things, and do it often. We talk about math, machine learning, systems engineering, and where to get lunch. We foster a culture of fundamental curiosity coupled with uncompromising focus on execution. Our mission is to usher in a new age of discovery by cracking the code of super-intelligence.

We are looking for –

To drive the development of next-generation reasoning and code-generation agents that push the frontiers of artificial intelligence. You will lead cutting-edge research across data, model architectures, objectives, and optimization techniques – advancing scalable, verifiable, and high-performance AI systems.

What you’ll do

  • Conduct cutting-edge research in AI and reinforcement learning,
  • Prototype and validate new approaches to reinforcement learning, inference algorithms, and novel model architectures
  • Analyze and overcome performance and scalability challenges in large-scale distributed training
  • Collaborate with cross-functional teams to bring research breakthroughs into production environments

What you’ll bring

  • MSc or PhD in AI, Machine Learning, Algorithms, Theoretical Computer Science, or Mathematics
  • Strong background in high-performance software development (Python, C++, or equivalent)
  • Deep understanding of machine learning fundamentals – including optimization, probability, statistics, and linear algebra
  • Hands-on experience designing, implementing, and evaluating ML models or algorithms
  • Ability to translate theoretical insights into scalable, production-grade systems
  • Excellent analytical and problem-solving abilities, with a creative and rigorous research mindset

Bonus points for

  • Experience scaling large models, including mixture-of-experts (MoE) models.
  • Familiarity with distributed training and inference frameworks
  • Research or implementation experience in reinforcement learning (RL), especially with verifiable or interpretable rewards
  • Strong publication record or demonstrable research contributions
 

Location: Ramat Gan – Bursa
Workplace type: Hybrid
Employment type: Full-time

If this sounds like you, please send your resume and transcripts from your academic degrees to [email protected].
 If applicable, include a link to your MSc or PhD thesis.

To lead the design and optimization of state-of-the-art GPU kernels powering advanced deep learning applications and large-scale workloads.

What you’ll do

  • You will drive cutting edge GPU kernel development and optimization across diverse, high-impact use cases.
  • You’ll work at the intersection of hardware and algorithms – accelerating complex workloads and shaping the future of high-performance AI computation.
  • Design, implement, and optimize GPU kernels for diverse deep learning workloads
  • Collaborate with research and engineering teams to deliver state-of-the-art performance on modern GPU architectures
  • Profile, debug, and fine-tune large-scale training and inference pipelines
    Stay ahead of the curve on GPU trends and emerging CUDA technologies

What you bring

  • Proven experience in GPU programming and parallel computing
  • Hands-on experience in GPU kernel development for deep learning workloads (within the past 3 years)
  • Strong understanding of modern GPU architectures – particularly Invidia Blackwell (B200) OR Hopper (H100)
  • Familiarity with CUTLASS (Cuda framework)
  • Proficiency with GPU profiling, debugging, and performance optimization tools
  • Excellent analytical and problem-solving abilities

Bonus points for

  • Experience optimizing large-scale workloads
  • Familiarity with Torch
  • Familiarity with modern CUDA frameworks ( CuTe, CUB)
  • Background in AI model training and inference optimization
 
Location: Ramat Gan – Bursa
Workplace type: Hybrid
Employment type: Full-time
 

If this sounds like you, please send your resume to [email protected] and tell us a bit about yourself.

To design and scale the core, backend and infrastructure powering our advanced AI reasoning systems.
To work on high-performance distributed systems, production-grade services, and cloud-native environments, building the company’s main product.

What you’ll do

  • Design and implement the software stack for our ai-based product (mostly in Python) scalable services, system and infrastructure.
  • Develop, deploy, and maintain production-grade services in containerized environments
  • Collaborate closely with research and ML teams to build robust and efficient data and model pipelines
  • Own system design, observability, and performance optimization end-to-end

What you’ll bring

  • Strong programming skills in Python and C++ with at least 5 years of proven experience.
  • Demonstrated achievements including system design and production environment experience
  • Hands-on experience with Kubernetes, Docker, or other container technologies
  • Solid understanding of backend architecture, scalability, and distributed system principles

Bonus points for

  • Deep understanding of Linux internals
  • Experience with distributed systems or machine learning infrastructure
  • Experience with AWS or GCP
  • Knowledge of CI/CD pipelines and ML frameworks (e.g., PyTorch, TensorFlow)
 

Location: Ramat Gan – Bursa
Workplace type: Hybrid
Employment type: Full-time

If this sounds like you, please send your resume to [email protected] and tell us a bit about yourself

We’re looking for software engineers at multiple experience levels to help design, build, and scale the core, backend and infrastructure powering our advanced AI reasoning systems.
You’ll work on high-performance distributed systems, production-grade services, and cloud-native environments that form the foundation of our core product.

What you’ll do

  • Contribute to the design and implementation of our AI-based product’s software stack (primarily in Python)
  • Build and maintain APIs, services, and supporting infrastructure in modern containerized environments
  • Collaborate closely with research and ML teams to create robust data and model pipelines
  • Help improve observability, scalability, and performance across the system
  • Depending on your experience, take ownership of components or subsystems and drive them end-to-end

What you’ll bring

  • 0–4 years of professional software engineering experience (internships and academic projects count!)
  • A record of doing things with care and quality – whether through strong university grades, thoughtful projects, or meaningful technical contributions
  • Solid programming skills in Python; familiarity with C++ is a plus
  • Basic to strong understanding of backend systems, APIs, and distributed computing principles
  • Familiarity with container tools (Docker, Kubernetes) and cloud environments (AWS, GCP, etc.)
  • Eagerness to learn, collaborate, and grow as part of a high-performing engineering team

Bonus points for

  • Experience with Linux systems and debugging tools
  • Exposure to CI/CD pipelines and modern ML frameworks (e.g., PyTorch, TensorFlow)
  • Understanding of scalability, performance optimization, and distributed systems design


This role is open to both early-career and mid-level engineers.

Location: Ramat Gan – Bursa
Workplace type: Hybrid
Employment type: Full-time

If this sounds like you, please send your resume to [email protected] and tell us a bit about yourself