What you will be responsible for
- Be responsible for multiple areas of ownership across core AV platform, SW architecture, simulation, SDK, middleware design, compute optimization, and hardware interfaces, ensuring redundancy under uncertainty and external constraints along with verification and validation of safety-critical AI systems.
- Work on deep learning models and algorithms acceleration on edge arm-based SoCs and accelerators like GPUs, NPUs, etc. using CUDA, TensorRT, etc.
- Develop and orchestrate high-quality algorithms under significant latency and performance constraints.
- Manage the execution of the product + technology roadmap along with contribution in driving infrastructure investments for achieving the milestones.
- Develop and implement deployment-ready redundant backend software architecture in C++ for the autonomy stack in the real-life environment and integrate multiple modular sub-systems like perception, planning, etc.
- Modify and debug sub-systems and codebases to ensure system compatibility, integrity, and redundancy of the architecture and design safety-critical features.
- Work cross-functionally with a number of parameters including system integration, debugging, testing, compilation, etc. while ensuring redundancy.
- Improve and deliver reliable software through continuous integration, automated testing, and code reviews.
- Work with other teams to define the system-level architecture, integrate sensor data into the stack, and build a highly efficient data flow that feeds into different stages of the real-time algorithms.
- Initiate large cross-team projects with sophisticated architecture by breaking them down to right logical components, and coordinate the execution of the project with other teams.
- Influence technical decision making, drive prioritization and execution, while managing outstanding engineering team in a fast-paced, impact focused environment.
- Instill passion in the team members inculcating a bias for action, and resolve critical technical bottlenecks.
- Enhance and track processes, milestones, quality metrics, and timeliness of team's work products to ensure successful completion of goals, tasks, and milestones.
What you must have:
- Impact-driven mindset with a risk-taking appetite and inclination towards fast-paced environment like a start-up.
- Ability to work with time-critical milestones and perform under pressure, with solve-it-no-matter-what attitude.
- 3+ years of industry experience in extensive software engineering projects and systems architecture & design preferably in C++ (or other OOPs) involving high performance computing artifacts like GPUs, RTOS, significant latency and performance constraints, etc.
- 1+ years of experience in leading engineering teams or managing the product roadmap.
- A track record of excellence with your work published in top conferences and journals, or having software projects deployed at scale.
What do we offer
- Work on the most grand problem statement of this century - autonomous driving, with some of the brightest engineers, researchers and technocrats.
- Competitive compensation, because we want you to focus on solving the problem you love, and not fussing about making ends meet.
- Help in relocating to Bengaluru, India, because you shouldn't be worrying about it.
- Flexible working hours - we believe in outcomes, and we trust you would deliver either way.
- We are a young vibrant team; we do work day in and out, but still, we make time for a lot of fun.
- Independence, because it allows you to not just have the freedom to experiment with cutting-edge approaches, but also redefine the way you approach the problem statement.
- Potential to own a part of Minus Zero. We are working on a domain that is going to boom exponentially, and we prefer our team to build their wealth along with the growth of the company.
- You might become one of the first people to take a ride in a fully driverless car ;)
About Minus Zero -
Minus Zero is accelerating the world's transition to autonomous driving enabling it with camera-based sensing. Moving away from the robotics paradigm, we are pioneering an re-imagined approach to AI inspired from neuronal computations inside human brain allows algorithms to reason, adapt and continually learn on the go.
