... software development. Our data science engineers employ statistical modelling and measurement ... Experience with temporal data and/or robotics sensor data. WHAT WE OFFER We are committed to ...
... software development. Our data science engineers employ statistical modelling and measurement ... Experience with temporal data and/or robotics sensor data. WHAT WE OFFER We are committed to ...
Research Scientist II
Houghton, MI · On-site
$65K/yr
... large temporal and spatial scales. Building reproducible data analysis pipelines using machine ... programming languages/software: python, R, metagenomic pipelines such as DADA2, basic handling of ...
Research Scientist II
Houghton, MI · On-site
$65K/yr
... large temporal and spatial scales. Building reproducible data analysis pipelines using machine ... programming languages/software: python, R, metagenomic pipelines such as DADA2, basic handling of ...
Temporal Software Engineer information
What is the difference between Temporal Software Engineer vs Cloud Software Engineer?
| Aspect | Temporal Software Engineer | Cloud Software Engineer |
|---|---|---|
| Required Credentials | Bachelor's in CS or related, experience with Temporal SDKs | Bachelor's in CS or related, cloud platform certifications (AWS, Azure) |
| Work Environment | Developing distributed, event-driven applications using Temporal | Designing and deploying cloud-based solutions across platforms |
| Industry Usage | Tech companies implementing workflow orchestration | Broad industry use, including SaaS, enterprise, and startups |
| Search & Comparison Intent | Focus on Temporal-specific skills and workflows | Broader cloud infrastructure and deployment skills |
In summary, a Temporal Software Engineer specializes in building and maintaining workflow orchestration using Temporal, while a Cloud Software Engineer works on deploying and managing cloud-based applications across various platforms. Both roles require strong programming skills, but their focus areas differ significantly.
What is a Temporal Software Engineer?
A Temporal Software Engineer is a developer who specializes in building, maintaining, and optimizing applications using the Temporal open-source workflow orchestration platform. Temporal enables engineers to manage complex, long-running, and distributed workflows in a reliable and scalable way. Temporal Software Engineers typically design workflows, implement fault-tolerant logic, and help teams automate business processes that require reliability and durability. Their expertise ensures that workflows can recover from failures, maintain state, and handle retries without losing data or process integrity.
What engineer makes $500,000 a year?
Highly experienced software engineers, including senior roles such as principal or lead engineers, can earn $500,000 or more annually, especially in high-cost living areas or large tech companies. These roles often require advanced skills, extensive experience, and sometimes stock options or bonuses as part of compensation packages.
What are some common challenges faced by Temporal Software Engineers when designing workflows, and how can they be addressed?
Temporal Software Engineers often encounter challenges such as managing complex workflow dependencies, handling failure recovery, and ensuring workflow scalability. These challenges can be addressed by leveraging Temporal’s robust retry mechanisms, designing idempotent activities, and breaking workflows into smaller, reusable components. Collaboration with DevOps and QA teams is also crucial to ensure workflows are resilient and thoroughly tested in distributed environments.
How much does a temporal software engineer make?
A temporal software engineer's salary typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Professionals with expertise in distributed systems, cloud platforms, and relevant programming languages tend to earn higher salaries.
Can I make 200k a year as a software engineer?
As a Temporal Software Engineer, earning $200,000 annually is possible, especially with experience, specialized skills, and working in high-demand markets or at large companies. Salaries vary based on location, expertise, and company size, with senior roles and those involving advanced knowledge of distributed systems often reaching or exceeding this level.
What is temporal in software?
In software development, 'temporal' often refers to frameworks like Temporal that enable reliable orchestration of distributed workflows and microservices. A Temporal Software Engineer works with these tools to design, implement, and maintain scalable, fault-tolerant systems that manage complex process flows and stateful operations.
What are the key skills and qualifications needed to thrive as a Temporal Software Engineer, and why are they important?
To thrive as a Temporal Software Engineer, you need strong software engineering fundamentals, proficiency in distributed systems concepts, and experience with languages like Go, Java, or TypeScript. Familiarity with Temporal's workflow orchestration platform, cloud infrastructure tools, and CI/CD systems is typically expected. Excellent problem-solving, collaboration, and communication skills help in designing resilient workflows and working with cross-functional teams. These skills are crucial for building reliable, scalable solutions that leverage Temporal for complex business processes.
What are popular job titles related to Temporal Software Engineer jobs in Michigan? For Temporal Software Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Temporal Software Engineer jobs in Michigan look for? The top searched job categories for Temporal Software Engineer jobs in Michigan are:
What cities in Michigan are hiring for Temporal Software Engineer jobs? Cities in Michigan with the most Temporal Software Engineer job openings:
Other
Medical, Dental, Vision, Retirement, PTO
Posted 5 days ago
Job description
Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what "mobility" means and how it serves society.
Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all.
TEAM
The cloud and data engineering team accelerates autonomous driving by providing access to the data collected by our fleet of autonomous and non-autonomous vehicles, and provides the core technology to mine interesting and rare events out of the petabytes of data we collect. Efficient, targeted and cost-effective access to data at scale is key to tackle the hardest problems in AD/ADAS, from developing the Machine Learning (ML) models for perception and prediction of human driving patterns, to increasing the sophistication of our validation and simulation by identifying rare and interesting real-world driving situations. We are a distributed team, working in the UK, US and JP.
WHO ARE WE LOOKING FOR?
The Cloud and Data Engineering team is looking for data science engineers who are passionate about enabling the next generation of automotive software development. Our data science engineers employ statistical modelling and measurement frameworks to model the distribution of road events in the real world, and inform our long-term validation and ML training data strategy. They embed within our engineering teams to help solve domain specific data challenges, such as developing evaluation frameworks for AD/ADAS deployment readiness and the fidelity of simulation. The right candidate will have excellent communication skills, experience in using statistical methods in an applied setting and in developing metrics and evaluation frameworks, as well as familiarity with Machine Learning systems.
RESPONSIBILITIES
Use statistical modeling to shape the our data strategy for data acquisition (real and synthetic), validation and ML training
Develop metrics and frameworks to understand the distribution and diversity of data
Tackle ambiguous problems using data-driven analysis, and provide actionable insights to inform decision making and demonstrate business impact
Communicate findings on complex technical topics to stakeholders across engineering leadership and product
Embed with engineering teams to understand and provide data-driven recommendations on their domain-specific challenges
Drive the adoption of best practices in data science across the organisation, mentor other data science engineers
MINIMUM QUALIFICATIONS
Industry experience using Python for data science (e.g. numpy, scipy, scikit, pandas, etc.) and SQL or other languages for relational databases.
Experience with a cloud platform such as (AWS, GCP, Azure etc.)
Experience with common data science tools; statistical analysis, mathematical modelling etc.
Experience in developing analytical frameworks to facilitate data-driven decision making in the face of high ambiguity
A track record of building relationships with engineering and product leadership, and influencing strategic business decisions
Ability to communicate concepts clearly and precisely to technical and non technical stakeholders
Experience working in a cross-functional environment
NICE TO HAVES
Experience in working in a production ML environment
Experience working with geographically distributed teams
Previous experience in the AD/ADAS domain or adjacent fields (e.g. robotics)
Experience with temporal data and/or robotics sensor data.
WHAT WE OFFER
We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.
Excellent health, wellness, dental and vision coverage
A rewarding 401k program
Flexible vacation policy
Family planning and care benefits
Our Commitment
We are an equal opportunity employer and value diversity.
Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
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