At Motive, some of the most critical engineering challenges happen where the cloud meets the physical world, ensuring that moving vehicles stay connected, drivers stay safe, and fleet managers can intervene when seconds matter most.
This spotlight features Veer, a back-end engineer and technical lead on Motive’s safety team. Veer’s work sits at the intersection of distributed systems, real-time media, and hardware-plus-cloud coordination, powering the in-cab intelligence and live communication infrastructure that keeps hundreds of thousands of commercial vehicles safe on the road every day.
Closing the loop on real-time safety
While many engineering teams focus on turning real-world physical events into data for a dashboard, Veer and his team do the exact opposite. They take data and push it back into a moving vehicle in real time.
As a tech lead on the back-end safety team, Veer oversees the architecture and lifecycle of systems powering the Motive AI Dashcam. His team focuses on the technology that drives dash cam controls, live video streaming, video recall, and location-aware camera intelligence. These features help protect drivers’ privacy, keep them safe, and tailor how their cameras work.
“A lot of back-end engineering is abstract. You ship a service and the impact just lives on a dashboard somewhere. Here, the systems I build run inside real trucks on real roads. When they work, the outcome actually matters…. The line between the code I write and a real person’s day is remarkably short.
Building live two-way calling at scale
A recent milestone for Veer was leading the back-end infrastructure for Live Two-Way Calling on the AI Dashcam. This tier-1 feature allows fleet managers to connect instantly with a driver during time-sensitive situations — such as severe weather, fatigue, or maintenance emergencies — entirely hands-free, without the driver needing to touch a phone.
Veer owned the call experience from end-to-end: starting, managing, and cleanly ending live audio sessions between the cloud and a moving vehicle, enforcing strict permissioning, and making sure every call ends gracefully.
When the initial technology chosen for the feature hit a dead end, Veer stepped up to lead the technical evaluation to find a better path. His engineering intuition paid off, uncovering an alternative route that turned out to be simpler, more reliable, and far more cost-effective.
Engineering for the real world meant Veer had to solve complex edge cases:
- Gracefully recovering call states when a truck drives through a cellular dead zone.
- Ensuring a vehicle is strictly locked to one active call at a time.
- Designing the system to guarantee zero audio recording or open microphones, protecting driver privacy.
Consolidating on a proven foundation
Following the success of two-way calling, Veer and his team tackled another major challenge: streaming smooth, low-latency video off a vehicle over unstable cellular networks.
Rather than maintaining two separate, complex media stacks, Veer recognized an opportunity to streamline their architecture. He guided the migration of Motive’s live video streaming infrastructure onto the same real-time media foundation he had proven out for two-way calling. Merging these systems gave the platform a leaner, more dependable streaming experience built on an architecture already trusted in production.
Location-aware intelligence and driver trust
Building safety tools at scale is impossible without building driver trust. Veer is currently leading a highly cross-functional initiative — uniting embedded, IoT, back-end, and QA teams focused on location-aware camera intelligence.
This technology allows a vehicle to automatically adapt its camera behavior to respect privacy the moment it enters a sensitive geographical boundary, and reliably revert the instant it leaves. Crucially, Veer’s architecture ensures these privacy controls execute flawlessly even when the truck completely loses cellular signal.
Engineering at a higher standard: Zero network guarantees
For Veer, operating in the safety space means engineering for a completely different set of constraints than a typical SaaS product. He and his team optimize for three strict pillars:
- Zero Network Guarantees: Systems must be built for moving trucks on cellular networks. Veer assumes unstable connectivity, high latency, and unreachable devices as the baseline, requiring resilient data reconciliation between the device and the cloud.
- Mission-Critical Latency: In safety, “eventually” is not an option. Live calls must connect instantly, streams cannot drop, and privacy boundaries must trigger the exact millisecond a vehicle crosses a line.
- High-Stakes Scale: Sitting at the intersection of distributed systems and hardware coordination, the bar Veer sets for correctness is closer to an active safety system than a standard application layer.
“We design for unpredictable, real-world conditions from the start. We assume the network will fail, so the system has to handle data that arrives late, twice, or out of order without ever dropping a safety event or double-counting one.
The invisible lifecycle: Rigor meets speed with AI
Customers only see the final feature, but behind Veer’s engineering practice lies a ruthless, multi-stage validation process designed to catch failures before they ever reach a fleet:
- Extreme Testing: Prototyping, internal dogfooding, and running automated testing directly on physical hardware test-benches.
- Real-World Live Runs: Veer and his team install and test the software on Motive’s own company vehicles to see how it performs on actual roads, not just in a lab.
- Gradual Rollouts: Phasing features behind strict feature flags—starting with internal users, moving to trusted early adopters, and monitoring for quiet failures before expanding wider.
Driving AI-assisted engineering
To maintain this high quality bar while moving at a builder’s pace, Veer has been leading the Safety organization’s adoption of AI-assisted development—building shared tooling and agents that fold into day-to-day operations.
- AI Review & Test Agents: Built into the deployment pipeline to catch bugs, analyze edge cases, and automatically write test cases to broaden coverage.
- Automated Incident Triage: When a quiet failure or anomaly occurs, an internal AI agent stitches a timeline across monitoring, infrastructure, and code to pinpoint the root cause in minutes instead of hours.
- Proactive Support Agents: Custom AI support agents handle the first pass on incoming customer issues—triaging, gathering context, and surfacing likely causes so engineers can resolve fleet questions noticeably faster.
“Alongside our product work, we’re not just using AI tools—we’re building our own… It means we hold a safety-critical quality bar while moving at a builder’s pace, and the team spends its energy on the hardest problems instead of the busywork.
Looking ahead: From feature to platform
What excites Veer most about the future is that his team isn’t just shipping features; they are building a real-time foundation that the rest of Motive’s safety ecosystem can plug into.
Now that Veer has solved the challenge of reliably connecting to a moving truck, that hard-won capability is becoming a unified platform. Whether it’s a fatigue alert, severe weather routing, or a critical coaching moment, future safety use cases can tap directly into Veer’s real-time backbone to intervene in the exact moment it matters.
Why Motive
For Veer, the ultimate reward comes down to impact, collaboration, and trust.
“Leaders here actually trust engineers to own hard problems end-to-end,” he says. “The features I’m proudest of came together seamlessly across backend, frontend, mobile, embedded, and QA, because everyone genuinely cares about getting it right. When your work means a driver gets a heads-up before a storm, or a person gets home safely at the end of their shift, showing up to solve these problems every day is easy.”
Learn more at gomotive.com.
