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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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

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Key Responsibilities

• Lead the administration, installation, configuration, maintenance, and monitoring of Linux and Windows server environments, ensuring high availability, performance, and security.
• Guide and supervise the IT team in troubleshooting complex system and server issues, performing root-cause analysis, and implementing long-term solutions to minimize downtime.
• Oversee CI/CD enablement through Jenkins, ensure continuous availability of EDA tools, and manage regular patching, updates, and preventive maintenance activities.
• Establish and maintain systems for continuous monitoring of server and network performance, proactively identifying and mitigating risks.
• Manage user accounts, access controls, and permissions to enforce security policies and compliance standards.
• Ensure timely and effective end-user support and drive the resolution of internal IT service tickets within defined SLAs.
• Plan, procure, and manage IT assets across their lifecycle, and negotiate with IT suppliers and vendors to achieve optimal commercial and service outcomes.

Required Skills

• Strong hands-on experience in Linux and Windows server administration, with deep expertise in enterprise IT operations.
• Solid knowledge of LDAP, SAMBA, Linux scripting, and automation, with the ability to guide implementation and best practices.
• Proven ability to troubleshoot complex technical issues and deliver scalable, long-term solutions.
• Strong attention to detail and commitment to IT policies, procedures, and operational excellence.
• Excellent communication, leadership, and interpersonal skills, with the ability to collaborate effectively across teams and stakeholders.

Educational Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field (preferred).

Experience: 8 years and above

Application Question(s):

• What tasks have you performed on Linux systems?
• How often have you worked on a Linux terminal
• Which command will find the word “error” in all .log files in a directory?

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Job Description

We are looking for a motivated and detail-oriented Mechanical Engineer to join our growing robotics engineering team. The ideal candidate brings hands-on experience in mechanical design, analysis, and project execution, and is eager to take ownership of engineering challenges across the product or systems lifecycle.

Key Responsibilities

• Design, develop, and improve mechanical components, assemblies, and systems using CAD tools (SolidWorks, AutoCAD, or equivalent).
• Conduct engineering analysis including stress, thermal, and fatigue calculations to validate robotic designs.
• Prepare and review technical drawings, BOMs (Bills of Materials), and engineering documentation.
• Collaborate with cross-functional teams including manufacturing, procurement, and quality to ensure design feasibility and cost-effectiveness.
• Support prototype development, testing, and validation of mechanical systems.
• Identify root causes of mechanical failures and implement corrective actions.
• Ensure designs comply with relevant industry standards, safety codes, and regulatory requirements.
• Participate in design reviews, project planning meetings, and vendor discussions.
• Track project milestones and communicate progress to project leads and stakeholders.
• Kinematics & Linkage Design: Expertise in forward/inverse kinematics, Degrees of Freedom (DOF) optimization, and robotic arm/gantry linkage architecture

Required Skills

• CAD Proficiency – SolidWorks, Autodesk Fusion 360 , CATIA, or Creo for 2D/3D modeling and drafting
• GD&T – Geometric Dimensioning & Tolerancing for precise engineering drawings
• Engineering Analysis – Basic FEA (Finite Element Analysis) for stress, thermal, and structural validation
• Design for Manufacturing (DFM) – Understanding of machining, casting, forging, sheet metal, and injection molding processes
• Bill of Materials (BOM) – Creation and management of component lists and assemblies
• Technical Documentation – Preparing and reviewing engineering drawings, reports, and specifications
• Control Systems – Understanding of closed-loop control feedback, different control algorithms.
• Simulation software – a working knowledge of Matlab & Smulink. (Simscape multibody)
• Structural Dynamics – Perform dynamic structural analysis on mechanical components/ assemblies and evaluate design integrity under time-varying, transient, and harmonic loading conditions.
• Hands on experience in designing, simulating, prototyping and testing mechanical parts end to end.

Required Qualifications

• Bachelor’s degree in Mechanical Engineering .
• Proficiency in CAD software (SolidWorks, CATIA, AutoCAD, or similar).
• Working knowledge of GD&T (Geometric Dimensioning and Tolerancing).
• Familiarity with engineering analysis tools (FEA/CFD is a plus).
• Understanding of manufacturing processes such as machining, sheet metal, casting, or injection molding.
• Strong analytical and problem-solving skills.

Experience: 2-4 years

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