At Monarch, we’re leading the digital transformation of farming. Monarch Tractor augments both muscle and mind with fully loaded hardware, software, and service machinery that will spur future generations of farming technologies.

With our farmer-first mentality, we are building a smart tractor that will enhance (not replace) the existing farm ecosystem, alleviate labor availability, and cost issues, and provide an avenue for competitive organic and beyond farming by providing mechanical solutions to replace harmful chemical solutions. Despite all the cutting-edge technology we will incorporate, our tractor will still plow, till, and haul better than any other tractor in its class. We have all the necessary ingredients to develop, build and scale the Monarch Tractor and digitally transform farming around the world.

Description:

We are looking for engineers to work on applied research problems related to control in autonomous driving of electric tractors. The team works on path planning and control to deploy on resource constrained hardware.

Technical Skills:

Necessary Skills: C++, Eigen, Boost, ROS.
Solid theoretical knowledge in Linear Algebra and Differential Equations, Control systems, Model Predictive Control, Robotics.
Knowledge of some numerical algorithms or libraries among: IPOPT (cppAD), HPIPM would be a plus.
Experienced candidates in ROS & C++ projects with no prior control experience willing to apply their knowledge to vision problems are also encouraged to apply.
Experience in simulation frameworks such as Gazebo would be a plus.

Responsibilities:

Ability to formulate math for a given problem statement/approach and prototype in C++.
Work in conjunction with other sub-systems for integration.
Testing/tuning the controller in simulation and on real-world hardware.
Communicate and collaborate with team members in India and abroad for the fulfillment of your duties and organizational objectives.
Thrive in a fast-paced environment and can complete the assigned sub-task.

What you will get:

At Monarch Tractor, you’ll play a key role on a capable, dedicated, high-performing team. Our compensation package includes a competitive salary, excellent health, benefits commensurate with the role you’ll play in our success.

About Monarch:

Description:

Technical Skills:

Necessary Skills: C++, Eigen, Boost, ROS.
Solid theoretical knowledge in Linear Algebra and Differential Equations, Control systems, Model Predictive Control, Robotics.
Knowledge of some numerical algorithms or libraries among: IPOPT (cppAD), HPIPM would be a plus.
Experienced candidates in ROS & C++ projects with no prior control experience willing to apply their knowledge to vision problems are also encouraged to apply.
Experience in simulation frameworks such as Gazebo would be a plus.

Responsibilities:

Ability to formulate math for a given problem statement/approach and prototype in C++.
Work in conjunction with other sub-systems for integration.
Testing/tuning the controller in simulation and on real-world hardware.
Communicate and collaborate with team members in India and abroad for the fulfillment of your duties and organizational objectives.
Thrive in a fast-paced environment and can complete the assigned sub-task.

What you will get:

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About Monarch Tractors India

Founded :

2022

Type :

Product

Size :

100-500

Stage :

Raised funding

About

The Monarch Mission

"It is difficult to go green, when you are in the red."™

Monarch Tractor is a mission driven company that is committed to elevating farming practices to enable clean, efficient, and economically viable solutions for today’s farmers and the generations of farmers to come.

We are collaborative partners with a farmer first approach to innovation.

✔️100% Electric

✔️Driver Optional

✔️Data-Driven

The Monarch Mission

"It is difficult to go green, when you are in the red."™

We are collaborative partners with a farmer first approach to innovation.

✔️100% Electric

✔️Driver Optional

✔️Data-Driven

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1 video

1 recruiter

Posted by Rachana Belagutti

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Budget for Upskilling
Flexible vacation

Equal Opportunity Employer:
Flux Auto's employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, age, gender identity, genetic factors, military/veteran status or other characteristics protected by law.

Vaccination Requirements:
Flux Auto is implementing new requirements for employees to be fully vaccinated from COVID-19.

Apply Now!

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Work on Embedded Software for deployment on the self-driving vehicle.
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Understanding requirements from different stakeholders and translating these to application features
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Knowledge of HW design for ECUs
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1 video

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Work with peers to develop excellent, structured code, well-optimized and easily maintainable.

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● Experience programming in either Python, C++, or MATLAB

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● Good analytical and problem-solving skills

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Embedded Systems

Linux/Unix

We are Civil Maps Civil Maps, provider of 3D mapping technology for fully autonomous vehicles, has raised a $6.6 million seed funding round from Ford Motor Company, Motus Ventures, Wicklow Capital, StartX Stanford and Yahoo cofounder Jerry Yang’s AME Cloud Ventures. Civil Maps’ mission is to make it possible for fully autonomous vehicles (SAE Levels 4-5) to drive anywhere smoothly and safely. Through artificial intelligence and vehicle-based local processing, Civil Maps converts sensor data into meaningful map information built specifically to direct fully autonomous vehicles. The company will use the seed investment to accelerate product development and deployment with a number of leading automotive companies and technology partners. Civil Maps’ artificial intelligence software aggregates raw 3D data from LiDAR (high-resolution laser imaging), camera and other sensors onboard autonomous vehicles and organizes the information into machine-readable maps. The information is vastly more actionable information than today’s mapping systems and requires a fraction of the data storage and transmission for existing technologies. Thanks to this light data footprint, Civil Maps’ spatial information is far less costly to transmit over cellular networks, enabling the company to more easily crowdsource, update and share road data in real time—a major improvement over the lengthy processes that require human annotation in current use. As a result, the company can quickly generate and maintain maps that give fully autonomous vehicles the comprehensive and precise knowledge to autonomous operate safely and smoothly on all roads. About the Opportunity As an embedded systems engineer at Civil Maps, you will work on the interface between software and the different machine vision hardware systems in production. You will also interact with customers for requirements, implementation, and support. Join us today in enabling autonomous vehicles to become a part of our lives. Qualifications Bachelor’s degree in Computer Science, related technical field or equivalent practical experience. Solid Software Engineering experience in C/C++. Unix/Linux experience is mandatory and Shell/Bash scripting experience in Linux is a plus. Knowledge of TCP/IP and network programming. Experience in database design and working with MongoDB and cache systems like Redis. Experience writing production grade docker containers and deployment. Experience working on cloud platforms like AWS and Azure. Python, Javascript programming experience is a plus. Solid foundation in data structures, algorithms and software design with strong analytical and debugging skills. Familiarity with version control like GitHub Working proficiency and communication skills in verbal and written English. Self-motivated and directed, with a keen interest in current and emerging technologies Preferred qualifications: Prior experience developing applications or backend experience in gaming industry or 3D simulator experience is a plus. Familiarity with continuous integration and automated deployment systems like TravisCI. Hadoop, MapReduce, and Parallel computing experience. Solid experience with Linux OS internals and Docker containers Experience deploying containerized applications to bare metal servers. Large systems software design and development experience, distributed systems and techniques on accessing/indexing a massive data store. Good understanding of private and public cloud design and architecture. The ability to pick things up quickly with minimal supervision, and be flexibility during product release.

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