INNONEERS

Join Innoneers – Shaping the Future of Software Engineering!
 

At Innoneers, we don’t just build software; we engineer innovation. We are a dynamic software development company dedicated to transforming complex business challenges into seamless digital experiences. Specializing in Web, Mobile, and Cloud solutions, we pride ourselves on our technical agility and "Engineering Excellence" mindset.
 

As we scale our operations, we are looking for a passionate Embedded ML Engineer to join our core team. If you thrive in an environment where clean code meets cutting-edge technology (Node.js, React, AWS, Python) and want to make a tangible impact on global projects in E-commerce, Fintech, and Logistics, Innoneers is the place for you.
 

WE WILL TRUST YOU WITH:

• Lead the design and implementation of state-of-the-art machine learning algorithms

  tailored for both real-world hardware and software applications;

• Build and optimize embedded ML models using PyTorch and NumPy, bringing them

  to life in embedded systems with C and Python;

• Analyze, benchmark, and fine-tune embedded ML pipelines to achieve latency,

  memory efficiency, and power optimization;

• Pioneer explainable AI techniques that provide actionable insights into model

  behavior and drive trustworthy solutions for our customers and end-users;

• Expand our ML toolkit by researching and integrating the latest methodologies,

  staying at the forefront of AI innovation;

• Establish scalable, reproducible workflows that set a standard for excellence in

  embedded ML development;

• Partner with a multidisciplinary team of hardware engineers, data scientists, and

  software developers to deliver integrated software and hardware application use

  cases;

• Provide critical algorithm insights to hardware development teams to facilitate

  seamless integration and performance optimization;

• Support the integration of ML models with hardware AI accelerators and

  neuromorphic processors;

• Collaborate with internal teams and clients to identify and design requirements for

  complex customer use cases;

• Translate customer needs into technical specifications and actionable project plans;
• Present findings and insights to stakeholders to inform decision-making and strategy;

• Mentor junior engineers and interns, fostering a culture of continuous learning and

  technical excellence within the team;

• Contribute to the creation of intellectual property, including patents and proprietary

  know-how.

   

YOUR EXPERIENCE INCLUDES:

• A BSc or MSc in a subject related to ML/Data Science/Statistics or relevant industry

  experience;

• Solid understanding of architecture specifications, and the ability to design and

  develop industry-standard embedded software and methodologies;

• 5+ years of hands-on experience in the development and deployment of AI solutions;
• Previous experience in Embedded or TinyML AI application development;

• Proficiency in C/C++ for logical programming for embedded software development

  and Python for ML model development;

• Strong experience with TensorFlow/PyTorch and Scikit-learn;
• Familiarity with hardware AI accelerator architectures and neuromorphic processors;
• Experience working with time series data/sensor data/real-time data processing;

• Proficiency in using version control systems.

   

WHAT YOU NEED TO SUCCEED:

• Strong analytical and problem-solving abilities with great attention to detail;

• Excellent communication skills for effective collaboration with cross-functional team

  and stakeholders;

• A proactive and self-motivated attitude toward learning and innovation.

   

WE OFFER YOU:

• A dynamic working environment around a fearless engineering culture;
• Ambitious teams with the freedom to innovate;

• A Flexible working environment (work from home policy, flexible working hours,

  advantageous holidays scheme ..);

• An inclusive company culture that embraces communication, diversity, and support

  around holistic and personal development.

Join Innoneers – Shaping the Future of Software Engineering!
 

At Innoneers, we don’t just build software; we engineer innovation. We are a dynamic software development company dedicated to transforming complex business challenges into seamless digital experiences. Specializing in Web, Mobile, and Cloud solutions, we pride ourselves on our technical agility and "Engineering Excellence" mindset.
 

As we scale our operations, we are looking for a passionate SoC Verification Engineer to join our team. If you thrive in an environment where clean code meets cutting-edge technology (Node.js, React, AWS, Python) and want to make a tangible impact on global projects in E-commerce, Fintech, and Logistics, Innoneers is the place for you.

We will trust you with:

• Develop and maintain SystemVerilog/UVM-based verification environments at both module and SoC level;
• Write test sequences, define functional coverage models, and ensure coverage closure;
• Debug simulation results using waveform tools and collaborate with design teams to resolve issues;
• Drive constrained-random stimulus generation and continuous improvements in our verification methodology;
• Apply modern EDA tools and automate verification flows to maximize speed and quality;
• Contribute to quality assurance, release-readiness, and design-test alignment for every chip.
   

What you’ll need to succeed:

• 8+ years of digital verification, including 4+ years of constrained-random verification with UVM.
• 2+ years of embedded C development for SoC verification.
• Experience designing verification architecture from design specifications and creating test plans.
• Ability to translate functional requirements into functional coverage models.
• Skilled in constrained-random stimulus generation and coverage analysis/closure.
• Strong expertise in root-cause analysis and debugging SystemVerilog RTL.
• Proficiency in scripting with Python or similar languages.
• Solid experience with Linux, bash, or equivalent environments.
• Proficient with commercial EDA tools.
• Experience collaborating effectively with cross-functional teams.
• Hands-on experience with UVM verification architecture and vertical reuse of lower-level UVCs/environments.
• Skilled in mixed-language simulation and system modeling.
• Experience with effort estimation, project planning, scheduling, and tracking.

• Proven ability to lead and mentor a small team.

   

Nice-to-haves:

• Experience with SystemC for modeling and simulation.
• Knowledge of UPF and low-power verification methodologies.
• Exposure to formal verification techniques.
• Hands-on experience with FPGA validation and bring-up.
• Experience with full-chip emulation and bring-up.
• Familiarity with OpenOCD/GDB for software-driven verification.
• Experience in SystemVerilog RTL design.

If you're ready to shape the future of technology with us, apply and let's talk!