Available Offers for Development management

Senior Software Engineer (PCIe Driver Development)

Full-time
Remotely

We are passionate about transforming lives through cutting-edge technology, enriching industries, communities, and the world. Our mission is to create exceptional products that drive next-generation computing experiences, serving as the foundation for data centers, artificial intelligence, PCs, gaming, and embedded systems.

At the core of our mission lies a culture of innovation. We challenge boundaries to solve some of the world's most critical problems. We are committed to execution excellence, fostering a culture of openness, humility, collaboration, and inclusivity, valuing diverse perspectives along the way.


Responsibilities:

  • Linux application programming
  • Linux device driver development
  • Embedded C, MMU, Cache policies
  • Excellent debugging skills at Kernel and user space and exposure to different debugging tools
  • Make files


Must have Skills:

5-8 years of experience

  • Proficient in C and embedded systems.
  • Experience in Linux driver development (PCIe/USB/Ethernet) and application development.
  • PCIe driver development experience.
  • DMA client/controller driver development experience.
  • Hands-on experience with Configuration Management tool like Git, Perforce.
  • Knowledge on PCIe, Ethernet, TCP, I2C protocols, DMA framework is a plus.
  • Self-motivated and interested to constantly learn and share new findings.
  • A quality mindset, ability for strategic thinking and a drive to always improve.
  • Nice to have B.tech/M.Tech in CSE/IT/ECE/EEE/E&I.


Software Engineer

Remotely

Task: Test SDK (software development kit) by documentation, run examples, write a report on what was hard/normal/easy, give recommendations for improvement.


Requirements:

- Proficiency in Python, with a solid understanding of object-oriented programming principles.

- Experience working with Linux operating systems, advanced CLI user.

- Proficiency in Bash scripting for automation and task management.

- Experience with Git for version control and collaborative development.

- Experience with Docker for containerization and deployment of applications.

- Hands-on experience running Large Language Models (LLMs) on-premise.

- Proficiency in utilizing NVIDIA GPUs to accelerate model inference and training processes.


Preferred Qualifications:

- Experience with NVIDIA’s TensorRT-LLM or similar frameworks to optimize and deploy LLMs efficiently.

- Familiarity with Kubernetes for orchestrating containerized applications in a clustered environment.


Additional Technical Skills:

- Familiarity with machine learning frameworks such as PyTorch.

- Understanding basic modern ML and DL concepts and Neural Networks architectures.

Business Process Engineer

Office
Full-time
The company designs and sells modular homes for residential and commercial use is looking for a Business Process Engineer

Deputy Head of the Information Security Service

Office
Full-time
Permanent work
A large Russian company that produces bicycles, ATVs, and snowmobiles is looking for a strong candidate for the position of Deputy Head of the Information Security Service.

Data Science Team Leader

Remotely
Full-time

The project - a platform for creating and publishing content on social media using artificial intelligence tools is looking for a  Data Science Team Leader with a focus on generative models (m/f).


Responsibilities:

— Study and transform data science prototypes.

— Research and implement appropriate ML algorithms and tools.

— Design machine learning systems.

— Develop machine learning applications according to requirements.

— Know the SOTA in the field of generative technologies and be able to reproduce key experiments.

— Develop prototypes based on generative models for multimodal content (text, images, video).

— Develop and implement a pipeline of product integration for successful prototypes.

— Manage a team of machine learners to plan, implement and support new technologic solutions.

— Understand how certain product features impact business results.


Requirements

— Previous experience efficiently conducting research and creating ad hoc generative prototypes.

— Previous experience in the management of RnD teams.

— A strong background in probability theory and statistics, data mining, and machine learning.

— Proficiency in Python and proven experience using popular ML packages (PyTorch, TensorFlow, huggingface,etc).

— Deliver your work to production as a stand-alone microservice.

— Be enthusiastic about DS and stay up to date with SotA Machine Learning algorithms and developments.

— Be eager to help your teammates, share your knowledge with them, and learn from them.

— Be able to write production code.

— Be open to receiving constructive feedback.

— Academic papers at major ML conferences is a plus.

— Experience as a CTO in a start-up is a plus.