Company Introduction At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality. We are seeking a highly skilled and motivated Senior Software Engineer, Core Platforms to own the systems that carry Bot Auto's autonomous driving software from a developer's commit to a running truck. This is a deliberately broad, hands-on role spanning build and release engineering, cloud and on-prem infrastructure, core platform services, and the operation platforms that run our fleet — with security built into every layer. You will own the C++ build and packaging toolchain that every autonomy team depends on, the CI/CD and container image pipelines that release it, the Kubernetes platform and infrastructure-as-code beneath them, and the backend and edge services that connect our cloud to the vehicle. As a hands-on technical leader, you will be a primary reviewer and escalation point for the engineering organization, and will set the standards that keep a fast-moving codebase releasable, observable, and secure Responsibilities Design and support company-wide event-driven architecture with messaging and streaming platforms, including stream and consumer provisioning and the shared IDL/schema services depend on. Develop and operate API gateways that provide secure, scalable, and reliable access to internal and external services. Design and build backend services for artifact and resource management, fleet data, and operations — including event-driven frameworks, object storage pipelines, durable state, and distributed locking. Develop the on-vehicle edge services that connect trucks to cloud platforms, covering event forwarding, credential and certificate management, and fleet-wide deployment. Build identity, authorization, and least-privilege access across services, devices, and the fleet — RBAC, JWT issuance and verification, service principals, and SSO integration. Own certificate and key management, including internal PKI, mTLS between cloud and vehicle, and the secrets lifecycle and rotation. Own and evolve the C++ build, dependency-resolution, and packaging toolchain (Conan/CMake-based) used across every autonomy repository, including dependency solving, version constraints, and cross-context consistency. Design and maintain container image pipelines for development, simulation, and on-vehicle runtime images — including GPU toolchain upgrades (CUDA/TensorRT), multi-stage runtime builds, and cross-compilation to aarch64 targets such as NVIDIA DriveOS. Serve as a primary code reviewer and design partner across the organization; write ADRs and design specifications for decisions that cross team boundaries. Participate in infrastructure on-call — mitigate user-impacting issues quickly with clear communication, then follow up with durable long-term fixes. Mentor engineers and raise the bar on testing, documentation, and operational excellence.. Requirements Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience 5+ years of hands-on software engineering experience spanning build systems, infrastructure, or platform engineering Strong software development skills in Python and C++, plus at least one of Go, Java, or JavaScript/TypeScript Demonstrated experience with C++ build and dependency tooling (CMake, Conan, or Bazel) and container build systems (Docker) Production experience with Kubernetes and at least one major cloud provider (AWS, GCP, or Azure) Experience designing and operating backend services, APIs, databases, and event-driven systems Solid understanding of authentication, authorization, secrets management, and secure system design Outstanding communication skills and a track record of cross-team collaboration in a fast-moving environment Nice to have Infrastructure-as-code proficiency (Pulumi, Terraform, OpenTofu, or Ansible) and GitOps delivery (Argo CD) Experience with workflow orchestration (Argo Workflows, Airflow) and streaming platforms (NATS JetStream, Kafka, Pulsar, RabbitMQ) Experience with API gateway platforms (APISIX, Kong) and observability stacks (Prometheus, Grafana, Loki, OpenTelemetry) Cross-compilation and embedded/automotive toolchain experience (aarch64, NVIDIA DriveOS, TensorRT) Experience with PKI, mTLS, HSM/KMS-backed signing, IAM, and zero-trust architectures Prior experience deploying LLMs and building agentic or human-in-the-loop automation Background in autonomous vehicle systems, robotics, or other cyber-physical systems Full-stack development experience (React, TypeScript)
