---
title: 'Machine Learning Engineer at Gatik AI'
canonical: 'https://feeny.ai/job/machine-learning-engineer-gatik-ai-santa-clara-qj4vvbdeqt4x'
type: 'job'
last_seen: '2026-09-12'
---

# Machine Learning Engineer at Gatik AI

- **Company:** Gatik AI
- **Location:** Santa Clara, CA
- **Posted:** 2026-09-10
- **Last confirmed live:** 2026-09-12
- **Apply:** https://boards.greenhouse.io/gatikaiinc/jobs/4712524006?gh_jid=4712524006

## Job description

## About the role

We are seeking a high-impact, technically deep Machine Learning Engineer to develop, optimize, and deploy production ML models across our autonomous vehicle (AV) stack. This role is ideal for engineers who enjoy building models end-to-end - from data and training through optimization and real-time deployment on autonomous vehicles.

You will work closely with perception, prediction, planning, infrastructure, systems, and hardware teams to ensure models are efficient, scalable, reliable, and production-ready for both on-vehicle and cloud workflows.

This role is onsite 5 days a week at our Santa Clara, CA office!

What you'll do

- End-to-End Model Development: Own the full ML lifecycle, including data strategy, preprocessing, training, evaluation, optimization, deployment, and monitoring.
- Autonomous Driving Models: Develop and improve models supporting perception, prediction, planning, and scene understanding.
- Efficient Neural Network Design: Optimize models using techniques such as quantization, pruning, sparsification, compression, and efficient architecture design to meet strict latency, compute, memory, and power constraints.
- Real-Time Deployment: Integrate trained models into C++-based autonomy systems and optimize inference for production vehicle hardware.
- Model Optimization: Profile and optimize neural networks using CUDA, TensorRT, and related technologies.
- Simulation and Evaluation: Analyze model performance using simulation and real-world driving data, identify failure modes, and drive improvements.
- Scalable ML Infrastructure: Build high-throughput pipelines for training, evaluation, data processing, and large-scale offline inference.
- Data Workflows and Tooling: Develop reliable pipelines for dataset curation, annotation, preprocessing, visualization, diagnostics, benchmarking, and continuous feedback from field data.
- Cross-Functional Integration: Partner with autonomy, systems, hardware, and infrastructure teams to ensure ML components integrate reliably into the broader vehicle platform.

What we're looking for

- Education: MS or PhD in Computer Science, Machine Learning, Robotics, Electrical Engineering, Statistics, Optimization, or a related field.
- Experience: Open to all experience levels. Leveling will be determined based on experience and technical depth.
- Programming & Frameworks:
- Strong Python skills and experience with frameworks such as PyTorch or TensorFlow.
- Strong C++ skills and experience integrating ML models into high-performance production systems.
- Core ML & Systems Expertise:
- Deep understanding of ML workflows, including data curation, training, evaluation, ablation studies, deployment, and inference optimization.
- Experience deploying and optimizing neural networks for real-time, embedded, robotics, autonomous driving, or other performance-constrained systems.
- Experience with model optimization techniques such as quantization, pruning, compression, and efficient architectures.
- Experience with software architecture, profiling, latency optimization, system-level debugging, and data flow analysis.
- Infrastructure & Compute Tools:
- Experience with CUDA and TensorRT is highly desirable.
- Experience with cloud-based ML training and evaluation pipelines, preferably Azure.

Bonus Qualifications:

- Experience with transformers, multimodal models, diffusion models, world models, or end-to-end driving models is a plus.
- Experience in autonomous driving, robotics, or other safety-critical real-time ML systems is strongly preferred.
- Publications or demonstrated technical contributions in efficient ML, autonomous driving, robotics, or related areas are a plus.
- Prior contributions to large-scale ML systems deployed in production.

Salary Range $170,000 - $240,000

## About Gatik AI

## Company Overview
- **One-liner**: Gatik operates fully driverless, autonomous middle-mile freight networks for Fortune 50 retailers and consumer brands across North America.
- **Entity Type**: Private (Series unknown; $153M total funding)
- **Headquarters**: Mountain View, California, United States
- **Founded**: 2017
- **Founders**: Gautam Narang (CEO), Arjun Narang (CTO), Apeksha Kumavat (Chief Engineer)

## Core Business
- **Primary industry**: Autonomous freight / transportation & logistics
- **Target customers**: B2B – large retailers, grocery chains, eCommerce companies (e.g., Walmart, Loblaw, Kroger, PepsiCo, Tyson Foods)
- **Mission**: “Autonomy should solve real problems today” – deploying safe, commercially viable autonomous trucks for regional delivery networks.

## Products & Services
- **Gatik Driver™**: SAE Level 4 autonomous driving system for medium-duty (Class 6) and heavy-duty (Class 8) trucks, purpose-built for middle-mile logistics (distribution centers to retail locations).
- **Gatik Arena™**: Next-generation simulation platform (unveiled July 2025) for training and validating autonomous systems across millions of driving scenarios.
- **Autonomous Freight-as-a-Service**: Fully managed, driver-out delivery operations for commercial customers, with daily revenue-generating routes.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric**: $600 million in contracted revenue (as of January 2026, following first fully driverless commercial operations at scale)
- **Total Funding**: $153M (across 11 rounds, per LinkedIn)
- **Notable Investors / Partners**: Isuzu (mass production partnership), ITOCHU Corporation, Ryder, Goodyear, NVIDIA (compute architecture), Walmart, Loblaw, PepsiCo, Kroger, Tyson Foods.
- **Growth Signals**: 
  - First U.S. company to operate fully driverless trucks at commercial scale (Jan 2026)
  - Multi-year agreement with PepsiCo (June 2026) – largest autonomous freight deployment to date
  - 5-year expansion deal with Loblaw for 50 autonomous trucks in Greater Toronto Area (Sept 2025)
  - Named to FreightTech 25 list for four consecutive years
  - Forbes “America’s Best Startup Employers” (2024, 2025)
  - Headcount grew 17.6% YoY to ~124 employees (LinkedIn, 2025)

## Competitive Advantages
- **First-mover in commercial driver-out middle-mile**: Only company operating fully driverless trucks daily for Fortune 50 retailers at scale.
- **OEM-backed mass production**: Exclusive partnership with Isuzu to mass produce L4-capable autonomous trucks on a dedicated production line.
- **Safety-first approach**: Industry-first third-party safety assessment framework (Oct 2024) and rigorous validation via Gatik Arena simulation.
- **Deep retailer relationships**: Multi-year contracts with Walmart, Loblaw, Kroger, PepsiCo, Tyson – creating high switching costs and recurring revenue.

## Strategic Focus
- **Scale commercial operations**: Expand driverless networks across North America, adding new routes and customers.
- **Mass production readiness**: Work with Isuzu to deliver volume manufacturing of autonomous trucks.
- **Geographic expansion**: Deeper presence in Canada (Loblaw) and entry into Japan via ITOCHU partnership.
- **Continuous safety & validation**: Leverage Gatik Arena to accelerate deployment of new scenarios while maintaining safety certification.

## Why Work Here
- **Culture & values**: “Be Builders, Be Agile, Be Relentless, Be United, Be Bold” – emphasis on disciplined engineering, real-world impact, and team collaboration.
- **Work environment**: Office-first culture with pet-friendly offices, daily catered lunches, fully stocked kitchens, and collaborative spaces. Locations include Mountain View (CA), Dallas (TX), Detroit (MI), Phoenix (AZ), Bentonville (AR), Toronto (ON), and others.
- **Benefits**: Competitive salaries, stock options, 401(k) with match, comprehensive health/wellness benefits, paid parental leave, company events/retreats.
- **Engineering focus**: Hands-on work in autonomy, robotics, simulation, and vehicle operations. Team includes engineers from Waymo, Zoox, Aurora, TuSimple, Nuro, and top universities.
- **Growth trajectory**: Rapidly scaling company with proven commercial traction – employees directly shape the future of autonomous freight.

## Sources
1. [gatik.ai](https://gatik.ai/)
2. [archive.gatik.ai/careers](https://archive.gatik.ai/careers/)
3. [archive.gatik.ai/about](https://archive.gatik.ai/about/)
4. [linkedin.com/company/gatik_ai](https://www.linkedin.com/company/gatik_ai)
5. [cbinsights.com/company/gatik-ai](https://www.cbinsights.com/company/gatik-ai)

## Other roles at Gatik AI

- [V&V Systems Lead](https://feeny.ai/job/v-v-systems-lead-gatik-ai-santa-clara-tfgt8wmcztwz) — Santa Clara, CA
- [Senior V&V Engineer – Public Road & Fleet Testing](https://feeny.ai/job/senior-v-v-engineer-public-road-fleet-testing-gatik-ai-santa-clara-bve2atgs8cqk) — Santa Clara, CA
- [Senior V&V Engineer – Closed Course & Proving Grounds](https://feeny.ai/job/senior-v-v-engineer-closed-course-proving-grounds-gatik-ai-santa-clara-4a4kcs7rpaen) — Santa Clara, CA
- [Senior V&V Engineer – Software-in-the-Loop (SIL) & Simulation](https://feeny.ai/job/senior-v-v-engineer-software-in-the-loop-sil-simulation-gatik-ai-santa-clara-xjwtpfs7wyrd) — Santa Clara, CA
- [Senior V&V Engineer – Hardware-in-the-Loop (HIL) & Test Bench](https://feeny.ai/job/senior-v-v-engineer-hardware-in-the-loop-hil-test-bench-gatik-ai-santa-clara-fm56h6jvepv5) — Santa Clara, CA
- [Senior Systems & Safety Engineer – Drive-by-Wire](https://feeny.ai/job/senior-systems-safety-engineer-drive-by-wire-gatik-ai-santa-clara-74kmg22m7ywj) — Santa Clara, CA
- [Senior Systems & Safety Engineer – Hardware](https://feeny.ai/job/senior-systems-safety-engineer-hardware-gatik-ai-santa-clara-np3zzg37tvdm) — Santa Clara, CA
- [Senior Systems & Safety Engineer – Autonomy](https://feeny.ai/job/senior-systems-safety-engineer-autonomy-gatik-ai-santa-clara-hmkad9gvzetc) — Santa Clara, CA
- [Senior Systems & Safety Engineer – AI/ML](https://feeny.ai/job/senior-systems-safety-engineer-ai-ml-gatik-ai-santa-clara-037h7rjt7fad) — Santa Clara, CA
- [Director, FP&A](https://feeny.ai/job/director-fp-a-gatik-ai-santa-clara-rhwdz5fc2npj) — Santa Clara, CA