Formula 1 Racers Should Hire Automotive GEN AI Software Engineers To Prevent Crashes
Argentine F1 driver Franco Colapinto, recently rising to fame, had a shocking race in Brazil when he suddenly crashed into a wall. At first glance, it looks like just another car crash, which is fairly common during a race. But what if a software failure caused the accident? Would Automotive Gen AI help him?
In Formula 1, cars run on a crazy network of computer systems and sensors, giving out real-time data nonstop. Everything—engine temperature, tire pressure, you name it—is tracked and fine-tuned by specialized software. What about the support teams back in the garage? They’re also hooked up to high-performance simulators and advanced telemetry systems, making pinpoint adjustments every second.
When Colapinto lost control in that heavy rain with all the water pooling on the track, it makes you wonder: was the car’s software struggling to read what the sensors were saying? And if so, was it missing a beat when sending crucial signals to the driver? Perhaps Franco didn’t need new tires; he needed better AI software.
The Future of F1 Will Be Shaped by Automotive AI Software Development
The motorsport world is all about pushing tech boundaries non-stop. Engineers are already working with high-precision systems, but everyone’s still hustling to level up, and now, with AI stepping into the mix, we’re looking at what could be the next BIG THING in automotive software engineering.
Take Tesla as an example; their cars have full (supervised) self-driving capabilities to the point where driving requires very little manual intervention. FSD uses real-time data from cameras, radar, ultrasonic sensors, and GPS to make driving decisions, handling various driving scenarios such as lane changes, intersection navigation, and obstacle avoidance. If we translate these capabilities into Formula One, our team believes that AI can drastically:
- Reduce the number of crashes by performing extremely complex maneuvers in split-seconds.
- Improve driver’s feedback and awareness during races.
- Machine learning models trained on vast datasets can choose the right racing lines, brake points, and acceleration patterns.
Where To Hire AI Software Engineering Teams
Everywhere around the world, AI engineers are in high demand given the industry growth: McKinsey predicts that gen AI could ignite $300 billion in new software spending over the next few years. So, let’s imagine your business (regardless of the industry) is looking for AI engineers — where do you find them? As discussed in previous blogs, Latin America is becoming one of the top places to hire AI developers. Here’s why:
– Most LATAM devs work in EST and CST timezone
– The rates for Jr to Sr Artificial Intelligence Engineers range from ~$30-$65/hr
– Most LATAM-based engineers are bilingual and have already worked on large-scale projects.
If you want to leverage the competitive benefits from above, Ewents provides AI software development services in a nearshore model. We offer tailor-made software development services in your same timezone and for a fraction of the cost.
How Ewents Helps With AI Development Services
Gen AI and automation already handle routine tasks like code writing, creating documents, and sorting or summarizing data. As this tech keeps advancing, we’ll likely see it taking on more complex stuff, like tracking data origins and building data-driven products. Meanwhile, the talent pool will evolve, and we’ll see fresh roles pop up along the way.
Our company is already being trained on the latest and greatest AI technologies, and we are constantly adopting AI and automation engineering to improve every single process within our company. In fact, our dev team can offer the following roles for software projects and staff augmentation:
AI Engineering Roles with Advanced Skills
- Data Architects: Our team can enable generative AI (Gen AI) capabilities tailored to your business needs and integrate them seamlessly into your existing data systems.
- Data Engineers: We handle unstructured data (like vector databases), designing and deploying Gen AI pipelines to collect, process, and store this data efficiently.
- Data Modelers: Our experts build robust data models that can work with both structured and unstructured data, supporting a wide range of AI applications.
- Data Scientists: From design to deployment, we create, test, and fine-tune Gen AI models to fit your unique objectives.
New and Specialized AI Software Roles for Hire
- AI Ethics Stewards: Ewents ensures that your AI systems are developed and used responsibly, addressing ethical risks (like Gen AI hallucinations) and promoting transparency.
- Prompt Engineers: Our specialists craft and optimize prompts to generate accurate, meaningful responses from foundation models across various AI applications like summarization, synthesis, and drafting.
- Unstructured-Data Specialists: We translate business requirements into data preparation tasks, transforming unstructured data into insights that add real value.
Perhaps it’s time that your organization hires more AI engineers so you can win every single race in business rather than crashing against the wall.
If you are looking to hire AI software engineering services, contact our team so we can help.
