HNHacker News
TopNewBestAskShowJobs

spongeit

17 karma · joined September 24, 2010

submissionscomments
spongeit··on Ask HN: Who is hiring? (June 2017)
As a broad policy, I don't know. I've seen a couple of teams here that have a remote worker. In both cases, the worker is onsite for one week each month.
spongeit··on Ask HN: Who is hiring? (June 2017)
Tesla | Data Engineers, Full Stack Engineers, Data Scientists, SREs | Palo Alto, CA | Full-time, ONSITE

Did you know we crunch data here? Data is deeply embedded in the product and engineering culture at Tesla. We rely on data – lots of it – to improve autopilot, to optimize hardware designs, to proactively detect faults, and to optimize load on the electrical grid. We collect data from each of our cars, superchargers, and stationary batteries and use it to make these products better and our customers safer.

In the Fleet Analytics team, we process TBs of data a day from these devices. We are looking for excellent people to fill out our team. Our platform and services support the entire company from Manufacturing to Engineering to Service.

Our tech stack includes Python, Java, Hadoop (Hive, HBase, Impala), Spark, Kafka, RabbitMQ, Kubernetes

Apply at

Data Scientist - https://www.tesla.com/careers/job/data-scientistfleetanalyti...

Data Engineer - https://www.tesla.com/careers/job/data-engineerfleetanalytic...

SRE - https://www.tesla.com/careers/job/site-reliabilityengineerfl...

Software Engineer - https://www.tesla.com/careers/job/software-engineerfleetanal...

spongeit··on Ask HN: Who is hiring? (May 2017)
I'm one of the Fleet Analytics team members and posting here because we need folks. The emails go recruiting. My expectation was/is that they respond to inquires. I've asked them to correct the issue.
spongeit··on Ask HN: Who is hiring? (May 2017)
Tesla | Data Engineers, Full Stack Engineers, Data Scientists, SREs | Palo Alto, CA | Full-time, ONSITE

Did you know we crunch data here? Data is deeply embedded in the product and engineering culture at Tesla. We rely on data – lots of it – to improve autopilot, to optimize hardware designs, to proactively detect faults, and to optimize load on the electrical grid. We collect data from each of our cars, superchargers, and stationary batteries and use it to make these products better and our customers safer.

In the Fleet Analytics team, we process TBs of data a day from these devices. We are looking for excellent people to fill out our team. Our platform and services support the entire company from Manufacturing to Engineering to Service.

Our tech stack includes Python, Java, Hadoop (Hive, HBase, Impala), Spark, Kafka, RabbitMQ, Kubernetes

Please send resume and (bonus) references to code to Eric at ejoe@tesla.com. Please include "HN - Tesla" in the subject line.

spongeit··on Ask HN: Who is hiring? (April 2017)
Yes. Reply to the email above with your info and identify yourself as an intern candidate.
spongeit··on Ask HN: Who is hiring? (April 2017)
Tesla | Data Engineers, Full Stack Engineers, Data Scientists, SREs | Palo Alto, CA | Full-time, ONSITE

Did you know we crunch data here? Data is deeply embedded in the product and engineering culture at Tesla. We rely on data – lots of it – to improve autopilot, to optimize hardware designs, to proactively detect faults, and to optimize load on the electrical grid. We collect data from each of our cars, superchargers, and stationary batteries and use it to make these products better and our customers safer.

In the Fleet Analytics team, we process TBs of data a day from these devices. We are looking for excellent people to fill out our team. Our platform and services support the entire company from Manufacturing to Engineering to Service.

Our tech stack includes Python, Java, Hadoop (Hive, HBase, Impala), Spark, Kafka, RabbitMQ, Kubernetes

Please send resume and (bonus) references to code to Eric at ejoe@tesla.com. Please include "HN - Tesla" in the subject line.

spongeit··on Ask HN: Who is hiring? (March 2017)
Tesla | Data Engineers, Full Stack Engineers, Data Scientists, SREs | Palo Alto, CA | Full-time, ONSITE

Did you know we crunch data here? Data is deeply embedded in the product and engineering culture at Tesla. We rely on data – lots of it – to improve autopilot, to optimize hardware designs, to proactively detect faults, and to optimize load on the electrical grid. We collect data from each of our cars, superchargers, and stationary batteries and use it to make these products better and our customers safer.

In the Fleet Analytics team, we process TBs of data a day from these devices. We are looking for excellent people to fill out our team. Our platform and services support the entire company from Manufacturing to Engineering to Service.

Our tech stack includes Python, Java, Hadoop (Hive, HBase, Impala), Spark, Kafka, RabbitMQ, Kubernetes

Please send resume and (bonus) references to code to Eric at ejoe@tesla.com. Please include "HN - Tesla" in the subject line.