As a Senior Data Storage Engineer at Zoox, you will be pivotal in designing, implementing, maintaining, and scaling our petabyte-scale, high-performance, software-defined storage systems. Additionally, you will architect and build data solutions to support our robotics and AI research, balancing optimal performance and cost for demanding globally distributed workloads. This role involves deep technical work within the Linux kernel and application code to resolve storage and network related issues and collaborating with software engineering teams to ensure the development of scalable and supportable platforms.
In this role, you will:
- Design, implement, and support internal and cloud-based scale-out storage and data systems.
- Architect, build and oversee the data and storage infrastructure to ensure robustness and scalability.
- Troubleshoot storage issues deep within the Linux kernel, application code, and network layers to eliminate bottlenecks, deadlocks, and bugs.
- Collaborate with developers and software engineers to enhance scalable storage platforms and integrate efficient solutions.
Qualifications
- Extensive experience with scaled software defined storage systems such as Ceph, Quobyte, Lustre, GFS, or GLUSTER.
- Proven contributions to the Linux kernel or open-source storage-related projects.
- Proficient in Linux Kernel, network, and storage tuning.
- Strong team leadership, project management and organizational skills.
- Passionate about the nuances of Scale-Out vs. Scale-Up strategies.
- Expertise in object storage technologies like S3 and its compatibles.
- Proficiency in network filesystems (NFS, Samba, AFS).
- Skilled in infrastructure automation tools (Puppet, Chef, Ansible, SaltStack).
- Ability to script/program in languages such as Rust, Perl, Python, Ruby, Bash, C, etc.
Bonus Qualifications
- Knowledge of NFSv4, ACLs, and storage security.
- Familiarity with big data technologies such as Elasticsearch, Cassandra, MongoDB, Spark, or HDFS.
- Experience with web services (Nginx, Varnish, Apache, HA Proxy).
- Understanding of virtual platforms (vSphere, Xen, Docker, or KVM).
- Experience with relational database technologies (MySQL, PostgreSQL, OracleDB, etc).
Compensation
There are three major components to compensation for this position: pay, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $193,000 to $243,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The pay range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to
[email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
