VC++ Developer

Key Responsibilities

• Identify and develop new business opportunities across target industries and

customer segments.

• Promote and sell lubrication system solutions including:

o Grease systems: Dual Line, Progressive, Multiline, Spray

o Oil systems: Pre-Jacking, HP-LP Systems, Circulating Systems

• Achieve or exceed monthly and annual sales targets across assigned territories.

• Develop and maintain strong relationships with OEMs, end-users, EPCs, and

government entities.

• Manage channel sales network by appointing, training, and supporting dealers and

sub-dealers across India.

• Participate in government tendering processes, including GeM portal-based

opportunities.

• Collaborate with internal teams (engineering, service, logistics) to ensure seamless

customer experience.

• Conduct product presentations, site visits, and customer meetings to demonstrate

value and drive engagement.

• Provide regular sales forecasts, market intelligence, and competitor analysis.

• Ensure timely collection of payments from direct customers and channel partners.

• Represent the company at industry events, expos, and exhibitions as required.

Key Responsibilities:

1. Responsible for planning, implementing and directing the sales activities of the company in a designated area to achieve sales objectives 

2.Telugu & Kannada language candidates are more preferable with good english proficiency 

3 . Develop a sales strategy to achieve organizational sales goals and revenues 

4. Sales Closure of hair and skin clients 

5. Responsible for driving consultation to Location allotted 

6. Develop and implement new sales initiatives, strategies and programs. 

7. Contacting potential client via email or phone to establish rapport and set up meetings 

8. Developing sales goals for the team and ensuring they are met 

9. Negotiating on phone, email or in-person 

10. To provide report and feedback to upper management about what is and is not working 

11. To provide detailed report and feedback to upper management 

12. Extensive Follow-up for the Clients allotted 

13. Giving client good client experience

Role and Responsibilities:

As an HMI Developer, you will be responsible for the entire HMI development process, from requirement analysis to release and deployment. You should have a strong understanding of the automotive domain, particularly in the areas of infotainment and cluster systems. Your coding skills should be exceptional, with expertise in C++. Hands-on experience with HMI frameworks like EB Guide, QT QML, Kanzi Studio, Altia, or Unreal is necessary. Additionally, you should possess debugging skills with standard debugger, toolchains, and target hardware such as infotainment units, digital clusters, or HUDs. Knowledge of automotive domain and communication protocols like CAN, LIN, MOST, UART, and JTAG is a must. Familiarity with design principles and UX processes is beneficial. Proficiency in version control systems like Git, project management tools like Jira, requirements management tools like Doors, and UML is required. It would be advantageous to have experience with model-based design and knowledge of operating systems like QNX, Linux, and other real-time operating systems. Understanding embedded device and microcontroller workings would also be beneficial.

Candidate Qualifications:

- Bachelor's degree in Computer Science, Electrical Engineering, or a related field

- Minimum of 3 years of experience in HMI development

- Strong problem-solving and analytical skills

- Excellent communication and teamwork abilities

Required Skills:

• Overall HMI development process
• Automotive domain with Infotainment/Cluster
• Strong coding experience in C++
• Hands-on experience in HMI frameworks like EB Guide, QT QML, Kanzi Studio, Altia, Unreal, etc.
• Debugging skills with standard debugger and toolchains
• Knowledge of automotive domain and communication protocols (CAN, LIN, MOST, UART, JTAG)
• Knowledge of design principles and UX process (good to have)
• Working experience in Git, Jira, Doors, UML, etc.
• Model-based design experience (good to have)
• Knowledge of operating systems like QNX, Linux, and other RTOS (good to have)
• Knowledge of embedded devices and microcontroller workings (good to have)

Introduction

Synapsica is a growth stage HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective, while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don’t have to rely on cryptic 2 liners given to them as diagnosis. Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting. We are backed by YCombinator and other investors from India, US and Japan. We are proud to have GE, AIIMS, and the Spinal Kinetics as our partners.

Your Roles and Responsibilities

The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc.) and traditional Image Processing (OpenCV etc.). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.

Requirements:

• Strong problem-solving ability
• Prior experience with Python, cuDNN, Tensorflow, PyTorch, Keras, Caffe (or similar Deep Learning frameworks). 
• Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection etc 
• Ability to write custom Convolutional Neural Network Architecture in Pytorch (or similar)
• Experience of GPU/DSP/other Multi-core architecture programming
• Effective communication with other project members and project stakeholders
• Detail-oriented, eager to learn, acquire new skills
• Prior Project Management and Team Leadership experience
• Ability to plan work and meet deadlines
• End to end deployment of deep learning models.