Hand-Picked Golang jobs • Apply directly to companies •
Clear salary ranges
Browse 42 Golang Hardware Jobs (1 new this month) in May 2024 at companies like WATTx and Corti with salaries from $60,000 to $100,000 working as a Lead Software Engineer and Software Engineer. Last post
Hiring Golang Developers?
Create your profile to continue
48 direct messages sent by companies to developers on Golang Cafe
in the last 30 days
32 developers joined Golang Cafe in the last 30 days
12,462 developer profiles page views in the last 30 days
Get access to exclusive discount on Golang courses up to 25% off
Last developer joined
2-Click Apply
Upload Your CV
Go to your Inbox & Confirm Your Application
2 of 42 Hardware Jobs • Sort by
Date
Lead Software Engineer WATTx Berlin, Germany €60,000 to €70,000 a year
October 2018
6 Applicants This Week
More Than 6 Months Old
This job posting is no longer available
Job Description
Are you a self starter who’s always eager to take on new challenges? Do you have a good taste for engineering design and can spot bad design from a mile away? Are you a natural leader? WATTx is looking for a Lead Software Engineer to join our ranks. As a part of Engineering Team, you will lead technical development of projects solving challenging industrial problems, working in cross functional teams in an agile environment.
YOUR RESPONSIBILITIES WILL INCLUDE:
-Leading day-to-day development
-Technical design and implementation of the product
-Planning and specifying the product roadmap
-Close collaboration with the founders, engineers, researchers, venture developers and data scientists.
-The engineering culture at WATTx has been shaped around principles of user-centric design and agile software development. We work in autonomous teams, value pragmatism over idealism, simplicity over complexity and technological agnosticism over fundamentalism, and are looking for people who share these values.
WHAT YOU NEED TO START YOUR MISSION:
-Extensive experience in designing complex software systems and knowledge about design patterns and antipatterns
-At least 2 years of experience leading software engineering teams
-Experience with agile project management methodologies, demonstrated by ability to select processes that work, based on current situation and not on dogma
-Excellent people skills
-Extensive experience with strongly typed programming languages, Golang being preferred
-Extensive experience operating or designing distributed systems
-Extensive experience working on real-time data processing, knowledge of -InfluxDB or VoltDB is a plus
-Experience with Docker or similar containerization technology
-Experience performing code reviews and pair-programming with other software engineers
-Experience with Kubernetes
-DevOps skills
WHAT WE OFFER:
-A competitive compensation package
-Diverse environment to learn and thrive in
-Monthly hackathons
-Ownership over your projects and an empowered working environment
-Guidelines and training materials based on industry best practices and our experience
-A generous learning budget for professional and personal development
ABOUT US
WATTx is a new kind of company builder focused on creating deep technologies in the industrial and consumer Internet of things. We are a full-stack team: hardware and software engineers, data scientists, user experience researchers and designers, venture developers, and strategists. Our cross-functional project teams take a user-centric approach to identifying opportunity areas in particular research areas that inform ideation sessions. Solutions that evolve from these sessions are quickly prototyped and vetted as pilots with clients, investors, and potential partners. Dedicated to lean development and a sprint spirit, we expect research kick-off to venture spin-out to take a matter of a few months.
Software Engineer Corti Copenhagen, Denmark $60,000 to $100,000 a year
August 2018
2 Applicants This Week
More Than 6 Months Old
This job posting is no longer available
Job Description
How would you steam live audio traffic across multiple services into a machine learning model? What is the memory consumption of a service streaming data with maximum network utilization? How would you handle images send to a GraphQL endpoint?
At Corti, we have proven a life saving technology that augments emergency medical dispatchers with machine learning. We envision a near future where all emergency dispatchers around the globe are augmented by our intelligence. We are proud to say that the engineers at Corti are saving lives. A life saving engineer is dedicated, seeks for real purpose and is proud to the extent of obsession. We don't need the ninjas and wizards, we need people who own every aspect of their work at any time.
To get there, we need to solve problems that go way beyond picking the right text editor. The engineering team at Corti owns the entire stack, from live audio capture, real time traffic processing and classification using machine learning models to the hardware on the dispatcher desk, the servers in the basement and the right cloud strategy.
We pick our team members carefully so we can maintain our culture of excellence. We look for complementing skills and characters and care less about your degree, certifications and experience. You can't hide behind your screen as we are a team that believes in collaboration across all the departments at Corti.
You can solve problems and you can proof it to us. You are better at estimating memory usage than remembering the exact implementation of quicksort. A new problem stimulates your creativity rather than your hippocampus. Working cross domain is a bonus for you and you are eager to widen your horizon.
While we have a core set of tools, programming languages and concepts we work with, we will definitely going to ask you to learn something new. Never worked with machine learning? This will change. Writing a parser for a network protocol? It will happen. Transitioning a customer to the cloud? The sky isn't the limit for us.
We are looking for someone experienced in Golang to support our backend team. You would be mostly working on the REST and GraphQL API and the integration with the models from the machine learning team.