Job Summary

We are looking for a highly skilled and motivated Robotics Engineer to design, develop, test, and implement robotic systems and solutions that advance automation and innovation. The ideal candidate will have strong experience in hardware and software integration, control systems, and machine learning to contribute to high-impact projects across industrial, consumer, or research domains.

Key Responsibilities:

• Design and develop robotic systems and components including mechanical structure, sensors, actuators, and controllers
• Program, simulate, and test robots using platforms like ROS, MATLAB, or C++/Python
• Develop and implement control algorithms for path planning, object recognition, and obstacle avoidance
• Collaborate with cross-functional teams including mechanical, electrical, and software engineers
• Troubleshoot and optimize system performance, including diagnostics and field testing
• Prepare technical documentation, user manuals, and reports for both internal teams and stakeholders
• Stay updated with latest trends and advancements in robotics, AI, and automation

Required Qualifications:

• Bachelor’s or Master’s degree in Robotics, Mechatronics, Electrical Engineering, Computer Science, or related field
• Proficiency in at least one programming language: C++, Python, or Java
• Hands-on experience with robotics platforms (e.g., ROS, Arduino, Raspberry Pi)
• Strong understanding of kinematics, dynamics, and control theory
• Familiarity with sensor integration (LiDAR, camera, IMU) and embedded systems
• Excellent problem-solving and analytical skills
• Strong communication and team collaboration abilities

Preferred Qualifications:

• Experience in machine learning or computer vision applied to robotics
• Familiarity with simulation tools (Gazebo, V-REP, Webots)
• Knowledge of industrial automation protocols (CAN, Modbus, etc.)
• Previous experience working on autonomous or mobile robots

Experience: 2 years+
Location: Noida (Uttar Pradesh, Pin Code: 201309)
Salary: As per industry standards
Shift: Day shift
Job Type: Full Employment
Job Type: Full-time

Benefits:

Health insurance
Provident Fund

Work Location: In person

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Full job description

Agnisys is looking for freshers to join our team to work on high tech products for the Semiconductor industry. Agnisys is a leader in automating SoC development. It’s products are considered to be the most comprehensive and best in class.

We offer a progressive, innovations-driven, learning environment. Don’t get pigeon-holed into one specific area when you can learn the intricacies of Design, Verification, Firmware and overall chip design all at one company! Not only that, you will be exposed to Product Validation, Customer Support and an Agile development environment. Agnisys focuses on research and development by participating in Accellera Systems Initiative, presenting in worldwide conferences, encouraging creative thinking and initiative.

So if you value innovation and creativity and want to create a strong foundation for your career, join Agnisys today.

Basic Requirements:

Candidates should be B.Tech.CS & MCA freshers/graduate
Basic Knowledge in Verilog, VHDL, SystemVerilog & C
FPGA, EDA Tools, Linux, Perl, Python, Tcl, Bash scripting
Should have excellent communication skills
Ability to work independently with little supervision as well as ability to work within a team
Excellent multi-tasking skills
Self-motivated with strong team spirit
Job Type: Full-time

Benefits:

Health insurance
Internet reimbursement
Work Location: In person

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Basic Requirements:

• Candidates should be B.Tech in Electronics and Communication Systems

• Knowledge of Verilog, VHDL, SystemVerilog & C.

• FPGA, EDA Tools, Linux, Perl, Tcl.

• Should have excellent communication skills.

• Ability to work independently with little supervision as well as ability to work within a team

• Excellent multi-tasking skills

• Self-motivated with strong team spirit

Job Responsibilities:

• Design, plan, document and develop new hardware products from initial requirements through prototypes to production ready.

• Maintain existing designs and develop new variants of existing products to add new features, deal with component end-of-life, etc.

• Work collaboratively and diligently with your fellow Hardware team members, Product Management, Software Engineering and Manufacturing to produce reliable, standards compliant, world-class products.

Job Type: Full-time

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Full job description
As a Machine Learning Engineer at Agnisys, you will play a crucial role in designing, developing, and deploying machine learning models, particularly in the field of Natural Language Processing (NLP). The ideal candidate should have a strong foundation in mathematical concepts of ML algorithms and hands-on experience with transformer architectures.

Responsibilities

1. Mathematical Proficiency

Demonstrate a solid understanding of mathematical concepts underlying machine learning algorithms.
Apply mathematical principles to design and optimize machine learning models.
Good understanding of Supervised Learning algorithms like Logistic Regression, Linear Regression, SVM, Decision Trees, Ensemble Techniques (Bagging, Boosting), etc.
Experience with Unsupervised Learning algorithms, such as clustering (k-means, hierarchical clustering).

2. NLP Expertise

Possess practical experience in working with NLP technologies.
Showcase a deep understanding of transformer architecture and its applications in NLP tasks.

3. Advanced Concepts

Familiarity with advanced concepts such as prompt engineering, retrieval augmented generation, and reinforcement learning is highly desirable.
Proactively stay updated on the latest advancements in ML, including Deep Neural Networks (MLP, CNN, LSTM, GRUs), and incorporate relevant techniques into projects.

4. Deployment Experience

Have a proven track record of deploying machine learning models into production environments.
Ensure scalability, reliability, and maintainability of deployed ML systems.
Qualifications

Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, or a related field.
Minimum 2 years of professional experience in Machine Learning, NLP, or related domains.
Solid understanding of machine learning algorithms, statistical modeling, and supervised/unsupervised learning techniques.
Hands-on experience with NLP technologies, with a focus on transformer architectures.
Familiarity with prompt engineering, retrieval augmented generation, and reinforcement learning is a plus.
Proven experience in deploying machine learning models in production.
Strong programming skills in languages such as Python, TensorFlow, and PyTorch.
Excellent problem-solving and communication skills.
Job Type: Full-time

Benefits:

Health insurance
Work from home
Work Location: In person

Apply Now