Total 20 process development engineer job vacancies

Get to Know the Team

Come join the Consumer Experience (CX) Engineering team - we work on a diverse set of consumer problems spanning across core experiences that power the UX navigation and transaction funnels, search and discovery of content and services, user lifecycle covering user growth, engagement and loyalty and the critical platform mission of mobile application developer experience. We are on an exciting mission to connect consumers to Grab's marketplace by allowing them to discover and engage with Grab's services and partners.

Get to Know the Role

We are looking for a Senior Backend Engineer to take part of the CX Team. You will be responsible for ensuring high quality deliverables, spanning across multiple key services powering end to end user journeys going from the login screen to the home and activity pages of the Grab app. You will be reporting to the Engineering Manager for this role. This is an onsite role based in Jakarta.

The Critical Tasks You Will Perform

• Design and write with the cutting edge Go language to improve the availability, scalability, latency, and efficiency of Grab's range of services
• Work with engineering team to explore and create new design / architectures geared towards scale and performance
• Participate in code and design reviews to maintain our high development standards
• Engage in service capacity and demand planning, software performance analysis, tuning and optimization
• Collaborate with product and experience teams to define and prototype feature specifications
• Own end-to-end delivery of product and tech initiatives
• Work closely with infrastructure team in building and scaling back-end services as well as performing root cause analysis investigations
• Design, build, analyze and fix large-scale systems
• Pro-actively debug and solve production incidents during your oncall shift
• Provide technical guidance, mentorship and knowledge sharing to peers.

Get to Know the Team

Come join the Core Experience Engineering team! We are on an exciting mission to build the best engagement and discovery experience for our users and win customer loyalty by serving the most important needs of customers' daily lives with a seamless, personalized and contextual experience.

Get to Know the Role

You will directly report to the Engineering Manager of the Core Experience Growth Team. As a significant and autonomous contributor to your team, your team will trust you with designing their software systems with high quality. You will take an active role in your projects as a team member and involve yourself from design to rollout, taking ownership of your work and always focusing on moving your projects forward. This is an onsite role based in Jakarta.

The Critical Tasks You Will Perform

• Collaborate with mobile and backend engineers, designers, data scientists, and product managers to build features.
• Participate in code and design reviews to maintain our high development standards.
• Brainstorm ideas, identify problems, propose and implement solutions geared towards scale and performance.
• Take full ownership of projects that are built to meet functional and non-functional requirements of our users and partners.
• Design, implement, instrument and deploy performant and reusable iOS components.
• Lead Collaboration with partners across teams and roles, to resolve ambiguous, multi dimensional business, legal, and product needs.
• Participate in interview loops to help Grab continue hiring top industry talent.
• Provide technical guidance, mentorship and knowledge sharing to peers.

About the Team:

The Robotics Technology team is a core part of Grab's long-term vision to build urban embodied AI. Our engineers take full ownership of the product lifecycle: designing and manufacturing hardware in-house, developing control and machine‑learning systems, and rigorously testing in real-world conditions and production fleet operations. This is a fast-moving, multidisciplinary environment where software, hardware and data science experts collaborate closely to solve practical challenges at scale. We are executing an ambitious growth plan to expand our robotics fleet across cities over the coming years, and we are focused on delivering highly productive, safe and efficient robot delivery services that help address current delivery labor shortages.

Based in Singapore and China, our team offers opportunities to work on cutting-edge autonomy, deploy solutions in complex urban environments, and directly influence the future of last‑mile logistics. If you're excited by tangible impact, large-scale systems and cross-functional engineering, you'll find meaningful challenges and rapid career growth here.

Get to know the role

As a Senior Perception Engineer, you will help build and ship the perception stack that turns raw sensor data into reliable, real-time understanding of the world. In our team, all engineers are expected to be hands-on across the perception stack, contributing to shipping milestones through evaluation, debugging, integration, and iterative improvements to perception algorithms and runtime behavior.

To accelerate early progress, you will take initial ownership of perception foundations: sensor integrity, calibration, and the tooling and validation workflows that ensure our perception inputs are geometrically and temporally correct. This work is a direct lever on perception quality and iteration speed. As these foundations stabilize, you will broaden into wider perception development, taking on larger slices of perception delivery over time.

You will report to the Senior Principal Perception & Prediction Engineer.

Work type: 5-day onsite.

The critical tasks you will perform

• You will ship and improve perception capabilities across detection, tracking, and multi sensor integration, using disciplined evaluation and failure analysis to iteratively raise quality and robustness.
• You will take initial ownership of perception foundations, including sensor integrity and calibration for our multi sensor suite (camera, LiDAR, radar, IMU). You will build practical diagnostics and automated checks to catch geometric or timing issues early and prevent them from being misdiagnosed as perception regressions.
• You will partner with Integration and Data and Infra teams to ensure perception is reliable in production-like conditions, including logging and replay workflows, as well as performance and latency investigations.

Get to Know the Team

The Robotics Technology team is a core part of Grab's long-term vision to build urban embodied AI. Our engineers take full ownership of the product lifecycle: designing and manufacturing hardware in-house, developing control and machine‑learning systems, and rigorously testing in real-world conditions and production fleet operations. This is a fast-moving, multidisciplinary environment where software, hardware and data science experts collaborate closely to solve practical challenges at scale. We are executing an ambitious growth plan to expand our robotics fleet across cities over the coming years, and we are focused on delivering highly productive, safe and efficient robot delivery services that help address current delivery labor shortages.

Based in Singapore and China, our team offers opportunities to work on cutting-edge autonomy, deploy solutions in complex urban environments, and directly influence the future of last‑mile logistics. If you're excited by tangible impact, large-scale systems and cross-functional engineering, you'll find meaningful challenges and rapid career growth here.

Get to Know the Role

We are seeking an experienced and passionate Lead Software Engineer, Infrastructure (Lead Site Reliability Engineer) to join our robotics platform team in Singapore. You will work with a small, highly experienced engineering group building and maintaining the cloud and backend infrastructure that powers our robot fleet, simulation environments, data pipelines and ML model training/deployment. You will own the reliability, scalability and observability of systems used both in production robot operations and engineering/data science workflows. Initiative, strong problem‑solving skills and an operator-first mindset are critical — you'll proactively identify problems, build robust solutions, and help the broader team run and scale complex distributed systems.

You will report to the Senior Principal Engineer.

Work Type: 5-day onsite.

The Critical Tasks You Will Perform

• Design, build and operate scalable cloud infrastructure and IaC for fleet management, telemetry ingestion, data lakes, model training, and CI/CD for embedded and cloud services.
• Implement and maintain observability (metrics, tracing, logging) and alerting for robot operations, simulation, and platform services.
• Lead incident response, root cause analysis, postmortems and implement corrective engineering to prevent recurrence.
• Automate operational tasks: deployments, rollbacks, canary releases, capacity scaling, backups and failover.
• Collaborate with software, hardware, ML, and operations teams to define SLOs/SLIs and ensure systems meet availability and performance targets.
• Build and scale data and model training pipelines (batch/streaming), and provide reliable compute/resource platforms for training and inference.
• Harden systems for security, access control and compliance in production and test environments.
• Mentor and grow SRE and platform engineers; drive platform best practices, runbooks and runbook automation.
• Support and improve simulation and mapping infrastructure used by engineers and data scientists.

About the Team:

The Robotics Technology team is a core part of Grab's long-term vision to build urban embodied AI. Our engineers take full ownership of the product lifecycle: designing and manufacturing hardware in-house, developing control and machine‑learning systems, and rigorously testing in real-world conditions and production fleet operations. This is a fast-moving, multidisciplinary environment where software, hardware and data science experts collaborate to solve practical challenges at scale. We are executing an ambitious growth plan to expand our robotics fleet across cities over the coming years, and we are focused on delivering highly productive, safe and efficient robot delivery services that help address current delivery labor shortages.

Based in Singapore and China, we offer opportunities to work on the latest autonomy, deploy solutions in complex environments, and directly influence the future of last‑mile logistics. If you're excited by tangible impact, large-scale systems and cross-functional engineering, you'll find meaningful challenges and rapid career growth here.

You will report to the Head of Engineering.

Work type: 5-day in office at Grab Headquarter.

Get to know the Role:

As the core architect of "Spatial Intelligence" for our last-mile delivery robots, you will lead the R&D of high-precision, robust, and cost-effective SLAM technologies. Your work will directly determine the robot's ability to navigate autonomously and safely through complex, dynamic urban environments (e.g., residential areas, commercial streets, office parks), driving the system from prototype to large-scale commercial deployment.

Work Type: 5-day onsite.

The critical tasks you will perform

1. Core Algorithm R&D & Optimization (50%)

• Multi-modal Fusion: Lead the development of SLAM algorithms for large-scale, semi-structured environments, focusing on tightly-coupled localization and mapping architectures using LiDAR, Vision, Odometry, and IMU.
• Scenario Robustness: Overcome unique last-mile challenges: filtering dense dynamic obstacles, resolving localization ambiguity in repetitive scenes, ensuring seamless indoor-outdoor transitions, and maintaining stable centimeter-level localization in GNSS-denied areas (e.g., urban canyons, tunnels).
• Cost-Efficient Solutions: Build SLAM solutions optimized for low-cost hardware (e.g., solid-state LiDAR, cameras) and ensure long-term map stability.

2. Engineering Excellence & Deployment (30%)

• Performance Balancing: Lead the deployment and optimization of SLAM algorithms on edge platforms (e.g., NVIDIA Jetson Orin, Horizon J5), achieving an extreme balance between precision and high-frequency real-time output.
• Production Implementation: Refactor code architecture for production; manage memory, power consumption, and coordinate with hardware teams on sensor selection, calibration, and temporal synchronisation.
• Mapping Toolchain: Design and implement automated toolchains for map generation, updates, and cloud management to support rapid operational expansion.

3. Closed-loop Iteration & Collaboration (20%)

• Evaluation & Truth Systems: Build performance evaluation frameworks (using metrics like ATE and Loop Closure success rates) to drive continuous algorithm evolution via data loops.
• System Synergy: Collaborate with Perception and Planning/Control teams to provide high-quality, low-latency pose estimation and semantic map data, enhancing overall motion intelligence.