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Baseten

Software Engineer - Training Product

New York, NY · On-site

$165K - $330K/yr

THE ROLE We're looking for a customer-obsessed software engineer to come ship with us. You'll own features like multi-node training and products like serverless reinforcement learning (RL) from ...

Agap Technologies

Data Engineer Training

Mesa, AZ · On-site

We offer a full suite of IT solutions and services, from custom software development to staffing ... training on Data Engineer. . Provide OPT Stem Ext.: Guidance and support for applying for the 24 ...

Agap Technologies

Data Engineer Training

Mesa, AZ · On-site

We offer a full suite of IT solutions and services, from custom software development to staffing ... We are offering online training on Data Engineer. . Provide OPT Stem Ext.: Guidance and support for ...

Seven Seven Software

Software Engineer

Plano, TX · On-site

Formal training or certification on software engineering concepts and 5+ years of applied experience * Hands-on practical experience delivering system design, application development, testing, and ...

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How much do software engineer training jobs pay per year?

As of Jun 12, 2026, the average yearly pay for software engineer training in the United States is $104,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $120,000.00 per year, depending on experience, location, and employer.

Is 25 too late to become a software engineer?

Age is not a barrier to becoming a software engineer; many successful professionals start in their mid-20s or later. Learning programming languages, gaining practical experience through projects or certifications, and building a portfolio are key steps regardless of age.

What are the key skills and qualifications needed to thrive in the Software Engineer Training position, and why are they important?

To thrive as a Software Engineer Training, you need a solid understanding of programming languages (such as Python, Java, or C++), algorithms, and software development principles, often backed by a degree in computer science or related field. Familiarity with development tools like version control systems (e.g., Git), integrated development environments (IDEs), and continuous integration platforms is typically required. Strong problem-solving abilities, willingness to learn, and effective communication skills help you excel in collaborative and fast-paced environments. These skills are critical for contributing to projects, adapting to new technologies, and succeeding in a team-oriented role.

What training do you need to be a software engineer?

To become a software engineer, you typically need a bachelor's degree in computer science, software engineering, or a related field. Gaining proficiency in programming languages such as Java, Python, or C++, along with understanding data structures, algorithms, and software development tools, is essential. Practical experience through internships, coding projects, or certifications can also enhance job prospects.

How to get a job as a software engineer with no experience?

To get a software engineer job with no experience, focus on building a strong portfolio of projects, learn relevant programming languages and tools, and gain practical skills through coding bootcamps or online courses. Internships, open-source contributions, and certifications can also improve your chances and demonstrate your abilities to employers.

What does the typical day look like for someone in a Software Engineer Training position?

As a Software Engineer Training, your day often starts with team stand-up meetings to discuss project updates and set priorities. You will spend most of your time learning from senior engineers, writing code, participating in code reviews, and troubleshooting software issues under guidance from mentors. Expect to engage in hands-on training activities, attend technical workshops, and gradually take on more complex tasks as your skills develop. This supportive environment is designed to help you build strong technical foundations, adapt to company workflows, and prepare for future advancement within the team.

What engineers make $500,000?

Senior software engineers, especially those in high-demand fields like machine learning, cloud computing, or working at major tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills, and often leadership roles or equity compensation.

What is a Software Engineer Training job?

A Software Engineer Training job is an entry-level position designed to help individuals develop technical skills and industry knowledge. It typically involves hands-on coding, software development projects, and mentorship from experienced engineers. Participants may work on real-world applications, learn best practices, and gain exposure to different technologies. The goal is to prepare trainees for a full-time software engineering role by building their problem-solving abilities and coding proficiency.

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Software Engineer Training jobs near you
Software Engineer - Training Infrastructure

Software Engineer - Training Infrastructure

Baseten

Manhattan, NY

$190K - $226K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As a Software Engineer at on the Training Infrastructure team, you'll architect and lead development of our training platform, supporting top tier research engineers and model developers. You'll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor their workloads with high performance and reliability. You'll own scheduling, storage, networking, reliability, and observability of technical systems in the training stack
EXAMPLE INITIATIVES
Take a look at what we've built so far:
  • Overview of the product so far
  • Training docs overview
  • Story of the Training product
  • Research we've done
RESPONSIBILITIES
  • Design and architect scalable infrastructure systems for our ML training platform (e.g. scheduling, storage, and networking)
  • Partner closely with developers and research engineers to translate complex training requirements into technical solutions
  • Design and architect a global training scheduler
  • Design and architect reinforcement learning systems and continuous learning pipelines
  • Drive long-term improvements to improve reliability of systems and velocity of development
  • Partner closely with SRE and Capacity teams to unlock state of the art training infrastructure
  • Make critical architectural decisions balancing performance with system reliability
  • Lead technical discussions and mentor junior engineers on infrastructure best practices
  • Contribute to long-term technical strategy and infrastructure roadmap
REQUIREMENTS
  • Bachelor's degree or high in Computer Science or related field
  • Proficiency in Go, with Python experience a plus
  • Deep expertise with Kubernetes in production environments
  • Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius) a plus
  • Advanced understanding of distributed systems concepts and performance tuning
  • Proven experience designing observability systems
  • Experience with ML/AI workloads and MLOps platforms highly valued
NICE TO HAVE
  • Experience with distributed storage systems
  • Experience with workload orchestration platforms like Temporal or Airflow
  • Familiarity or experience with the open source training stack and frameworks (NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, HF Trainier) and distributed training techniques (FSDP, DeepSpeed).
  • Experience developing AI products, tooling, or agents
BENEFITS
  • Competitive compensation, including meaningful equity.
  • 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
  • Paid parental leave
  • Fertility and family-building stipend through Carrot
  • Company-facilitated 401(k)
  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

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