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Senior II Site Reliability Engineer
Akamai Technologies, Inc.
Juneau, AK
- $146,400 to $263,600 USD / year
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Site Reliability Engineer II
Akamai Technologies, Inc.
Juneau, AK
- $95,000 to $171,000 USD / year
Are you passionate about software-defined networking, secure connectivity, and making large-scale cloud infrastructure safe to change?
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Senior II Site Reliability Engineer
Akamai Technologies, Inc.
Juneau, AK
- $146,400 to $263,600 USD / year
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Juneau, AK
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Construction Site Manager
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Wilson, AK
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Associate Machine Learning Engineer
Jobgether
Remote, United States
- $106,900 to $152,700 USD / year
…steps. Our partner is looking for an Associate Machine Learning Engineer based in the United…
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Forward Deployed Engineer – Enterprise AI Infrastructure (On-site SF)
Morgan Pinnacle Group
San Francisco · San Francisco, CA
Forward Deployed Engineer – Enterprise AI Infrastructure
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Data Center Technician II
Google
Council Bluffs, IA
Added 11 mins ago
WI
Staff, Software Engineer - Full Stack
Walmart Inc.
Sunnyvale, CA
- $143,000 to $286,000 USD / year
Join Walmart Global Tech as a Staff Software Engineer and become the technical backbone of our cross-border commerce platform. In this role within our Growth Tech Marketplace organization,…
Added 13 mins ago
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Data & Analytics Engineer
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- $100,000 to $120,000 USD / year
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Data & Intergrations Engineer
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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data & Integrations Engineer based in the United States.
Added 37 mins ago
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CRM Lead Engineer
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Remote, United States
- $80,000 to $131,000 USD / year
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Lead DevOps Engineer
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Added 42 mins ago
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Managing Director, AI GTM (Banking and Financial Services) - REMOTE
NTT DATA Americas, Inc.
Plano
- $150,000 to $350,000 USD / year
Added 49 mins ago
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Construction Resident Engineer (PE II) - Colorado Springs and Pueblo
State of Colorado
Colorado Springs, CO · Pueblo, CO
- $119,184 to $122,940 USD / year
Added 51 mins ago
AI Engineer
Terranova
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As an AI Engineer at Terranova, you'll develop practical AI-powered tools, software, a

DiDi Labs

Sr. / Staff Software Engineer, Infrastructure (Autonomy)

San Jose, CA, United States
Mountain View, CA, United States

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Job details

Posting language: English
Posted: Nov 2, 2026

Original job description

About the Company

DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.

About The Role

We are seeking an experienced Sr. Software Engineer / Staff Software Engineer, Infrastructure to lead the architecture and evolution of the core platform powering our autonomous driving software stack. In this role, you will define the technical roadmap for our high-performance middleware, custom compiler infrastructure (including ccatch), onboard toolchains, and large-scale simulation frameworks (ezsim and automated crash triage). As a technical leader, you will collaborate closely with Autonomy and Simulation teams to maximize platform stability, enforce systemic engineering standards, and accelerate cross-team developer productivity at scale.

Responsibilities

• Lead the architectural vision, design, and implementation of next-generation, low-latency, high-throughput IPC messaging middleware and runtime execution engines for onboard systems.

• Own end-to-end build infrastructure, toolchains, and compiler execution strategies (including ccatch and distributed build caching) to optimize developer velocity and software deployment pipelines.

• Architect robust, deterministic simulation platforms (ezsim) and build automated post-mortem diagnostic toolchains for rapid simulator crash triaging, core dump analysis, and systemic fault isolation.

• Drive cross-functional performance profiling, memory optimization, and latency reductions across the full autonomous driving software stack on embedded hardware platforms.

• Act as a crucial infrastructure domain expert for onboard teams, guiding software design for maximum efficiency, flexibility, scalability, and reliability across our evolving autonomy stack.

• Continuously elevate internal development tools, diagnostic systems, and engineering workflows to maximize developer velocity while maintaining tight control over system complexity and runtime stability.

• Technical leadership: Mentor engineers, set high engineering standards, lead technical design reviews, and establish foundational architecture guidelines across cross-functional teams.

Qualifications

• Bachelor’s or higher degree in Computer Science, Computer Engineering, Software Engineering, or a closely related technical field.

• 6–10+ years of software engineering experience designing, architecting, and maintaining complex real-time systems, Linux systems infrastructure, or autonomous driving platforms in C++.

• Proven track record of technical leadership, system architecture, and driving complex, multi-team engineering initiatives from inception to production deployment.

• Expert-level understanding of C++, system programming, multi-threading, concurrency models, and low-latency IPC/middleware architectures.

• Deep knowledge of compiler internals (Clang/GCC, LLVM), build systems (Bazel/CMake), and compilation optimization tools (including caching systems like ccatch).

• Proven capability in debugging complex system-level faults, kernel/user-space crashes, memory corruption, and race conditions.

Preferred Qualifications

• Prior experience architecting or extending core simulation execution platforms (ezsim), evaluation frameworks, and automated crash triaging pipelines for robotics or autonomous driving.

• Recognized domain expertise in embedded systems, cross-compilation target setups (e.g., QNX, Linux RT, NVIDIA Orin), and hardware acceleration layer integrations.

• Deep experience in low-level systems profiling (e.g., eBPF, gperf), customized memory allocators, or custom IPC protocol design.

• Demonstrated history of building developer productivity tools, developing quantitative software evaluation metrics, and driving root-cause analysis in complex robotic environments.

The base salary range for this full-time position is $169,783 - $338,694 annually in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on https://v.didi.cn/AQnxlBa

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Skills

Hardware platforms
Leadership
Computer science
Computer engineering
Linux
C++
CMake
Debugging
Robotics
Embedded systems
QNX
Root cause analysis

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